{"id":"W4393593973","doi":"10.5281/zenodo.4671512","title":"Canadian TV programs from August 2020","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Telecommunications; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006498995,0.0019475,0.001398494,0.008674394,0.002209013,0.002984619,0.002741595,0.001154842,0.0683066],"category_scores_gemma":[0.006697358,0.0007701585,0.001283548,0.02404372,0.0003916576,0.001267462,0.001411638,0.002110453,0.03474537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01309239,"about_ca_system_score_gemma":0.02499219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9554583,"about_ca_topic_score_gemma":0.9764143,"domain_scores_codex":[0.9985613,0.00005725205,0.00009717897,0.0002741881,0.0006343825,0.0003757692],"domain_scores_gemma":[0.9957396,0.0003081165,0.0003482619,0.0002573752,0.002822479,0.0005241969],"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":[0.00002834937,0.000008299196,0.001306147,0.0002573263,0.00001919453,0.000009763022,0.00002068425,0.0001608316,0.00001602592,0.0004754438,0.9954885,0.002209563],"study_design_scores_gemma":[0.0001514912,0.00001046214,0.03678324,0.0004080309,0.00006120295,0.00002568797,0.0002324911,0.0004618522,0.0001674021,0.0004650916,0.9611925,0.00004057821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001492781,0.00006757956,0.00001675148,0.000056277,0.00001200757,0.000006925197,0.9985119,0.0000537861,0.001125469],"genre_scores_gemma":[0.001057197,0.0001741688,0.0001315189,0.00004750381,0.00001025567,0.00004404787,0.9958999,0.00003175694,0.002603569],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0683066,"threshold_uncertainty_score":0.2285084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06804631548495911,"score_gpt":0.3129047234380333,"score_spread":0.2448584079530742,"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."}}