{"id":"W4365457989","doi":"10.7202/1097613ar","title":"Probe: A Brief Chart of Media Effects","year":2023,"lang":"en","type":"article","venue":"New Explorations","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Chart; Computer science; Psychology; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.00001958751,0.00006931974,0.00009577814,0.000151027,0.000102892,0.00002576736,0.0001045952,0.0000322289,0.0001268529],"category_scores_gemma":[0.001054799,0.00006691096,0.00005129744,0.000698329,0.00003538009,0.0003645685,0.00002496723,0.00009516077,0.001579076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001077555,"about_ca_system_score_gemma":0.00006974465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002399901,"about_ca_topic_score_gemma":0.00005973327,"domain_scores_codex":[0.99931,0.00004775005,0.0001506393,0.0001776578,0.0001703439,0.0001435683],"domain_scores_gemma":[0.9990745,0.0005456348,0.0000553292,0.0002159035,0.00002974723,0.00007891185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006924107,0.00005319958,0.00004034438,0.00001097864,0.000003103485,0.0000116597,0.003240415,0.00006145124,0.9361531,0.01359943,0.04491786,0.001901524],"study_design_scores_gemma":[0.000267218,0.00005802182,0.0008137589,0.00002432219,0.0000106328,0.000007920118,0.0002973615,0.0004620371,0.9476732,0.003150399,0.0471444,0.00009071914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439318,0.00001416247,0.006281178,0.0137441,0.00384412,0.001152755,0.0001066265,0.001331212,0.02959412],"genre_scores_gemma":[0.9940167,0.00003794564,0.000134669,0.0003387552,0.0001885244,0.00004748918,0.00001458021,0.00001424806,0.005207077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05008498,"threshold_uncertainty_score":0.9991983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08802792585226613,"score_gpt":0.3099171829144698,"score_spread":0.2218892570622037,"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."}}