{"id":"W2974767122","doi":"10.22230/cjc.2019v44n3a3647","title":"Special Section: Data Power","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Universität Bremen","keywords":"Section (typography); Special section; Power (physics); Computer science; Engineering; Physics; Engineering physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004889867,0.00004600499,0.0001279163,0.0002874677,0.00012348,0.0003171645,0.003598222,0.00003381855,0.004810197],"category_scores_gemma":[0.0009942245,0.00003839929,0.00003820795,0.000308166,0.00005815005,0.001107105,0.0001935393,0.0001861611,0.0006594399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007200429,"about_ca_system_score_gemma":0.0004745372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001262011,"about_ca_topic_score_gemma":0.04365654,"domain_scores_codex":[0.9985637,0.0002905587,0.0004842054,0.0001052334,0.0004488375,0.0001074331],"domain_scores_gemma":[0.9964753,0.0002698673,0.0003642854,0.002376479,0.0003113305,0.000202714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008477539,0.000009002099,0.002807371,8.344592e-7,0.00001529218,0.0000035735,0.0005470129,0.0000440806,0.00000529516,0.01501883,0.9572561,0.02428417],"study_design_scores_gemma":[0.0001452768,0.00002996049,0.01594447,0.00001295461,0.00000538633,0.00001783291,0.001232292,0.00004701985,0.000003006679,0.005293844,0.9772233,0.00004470153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1406951,0.001267308,0.003578821,0.03994202,0.01566238,0.0003627713,0.000212814,0.00001074753,0.798268],"genre_scores_gemma":[0.9932528,0.00004449345,0.0009892463,0.0008274718,0.001133749,2.52387e-7,0.00003860363,0.000004801941,0.003708593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8525577,"threshold_uncertainty_score":0.9960995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2422503721717192,"score_gpt":0.4055047114123008,"score_spread":0.1632543392405816,"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."}}