{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"5606d1f24067","filters":{"venue":"GSTF Journal on Media & Communications"}},"results":[{"id":"W2308581270","doi":"10.7603/s40874-014-0013-6","title":"Communication Ecosystem Contexts: From Mass Audiences to Mass Messages","year":2015,"lang":"en","type":"article","venue":"GSTF Journal on Media & Communications","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Mass media; Context (archaeology); Ecosystem; The Internet; Perspective (graphical); Perception; Ecology; Computer science; Geography; Advertising; Business; World Wide Web; Psychology; Biology; Artificial intelligence","authors":[{"name":"Mehdi Mohsenian-Rad","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04361128385962515,"gpt":0.323726831997477,"spread":0.2801155481378519,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007940534,0.0001695991,0.0002816302,0.0001043379,0.0006492803,0.0002710651,0.001962451,0.00005767775,0.000127931],"category_scores_gemma":[0.0001230924,0.000154423,0.0001129746,0.0002494066,0.0001108304,0.000280943,0.000218143,0.0006052979,0.0002817104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308445,"about_ca_system_score_gemma":0.0001942997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002581978,"about_ca_topic_score_gemma":0.0001906531,"domain_scores_codex":[0.9982227,0.0005048674,0.0005117014,0.0001576202,0.000360289,0.0002428183],"domain_scores_gemma":[0.9966646,0.0006990592,0.0003597142,0.001422222,0.000429008,0.0004254133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001191835,0.0009954805,0.07676911,0.000009996546,0.0007141361,0.000005692245,0.04098964,0.003863211,0.001370059,0.7812213,0.02682907,0.06711308],"study_design_scores_gemma":[0.003406197,0.0003757631,0.01983071,0.001062441,0.000178851,0.000006006871,0.05822401,0.008945174,0.0004026413,0.3751845,0.5309208,0.001462935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6892618,0.006177677,0.0549745,0.09760537,0.003812445,0.001585441,0.00171586,0.0002679216,0.144599],"genre_scores_gemma":[0.9845104,0.0003938756,0.01412906,0.0003839301,0.0002668545,0.00005467037,0.0001179583,0.00001848799,0.0001247591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5040917,"threshold_uncertainty_score":0.6297188,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}