{"id":"W4405713418","doi":"10.29173/hsi485","title":"Mixed media","year":2022,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.004341113,0.00004628298,0.00009427878,0.0002582906,0.00436203,0.00003251625,0.001426835,0.00002511969,0.001034143],"category_scores_gemma":[0.00053248,0.00005021074,0.00002022941,0.001705403,0.002782222,0.0001614246,0.0004559378,0.0002705125,0.00007941885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004252978,"about_ca_system_score_gemma":0.002382705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001430837,"about_ca_topic_score_gemma":0.0009129726,"domain_scores_codex":[0.9980789,0.0001998072,0.0001873525,0.0002224055,0.0008123365,0.0004991741],"domain_scores_gemma":[0.9990042,0.0001565485,0.0001110216,0.0004217739,0.00006244908,0.0002439639],"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":[0.000004251989,0.0001052911,0.003980041,0.000003894269,0.00000103848,0.000001794225,0.1124694,0.000009538465,0.00008846524,0.6684512,0.01925649,0.1956286],"study_design_scores_gemma":[0.0001572523,0.00004834112,0.01293729,0.000002871583,6.202712e-7,0.000003416267,0.07056468,0.0002696516,0.00003392462,0.005341884,0.9105309,0.0001092215],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6540709,0.001284782,0.0003577149,0.2655335,0.01266039,0.0009837337,0.00001065016,0.001187049,0.06391124],"genre_scores_gemma":[0.9943381,0.0001483278,0.002212164,0.002964361,0.0001073756,0.00006644778,0.000002737311,0.000003754445,0.0001567608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8912743,"threshold_uncertainty_score":0.9999316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2580475500927896,"score_gpt":0.4535584887776702,"score_spread":0.1955109386848806,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}