{"id":"W7067706856","doi":"","title":"2017 11 04 Mark Dickey de Radio x Saguenay","year":2017,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Historical record; Radio wave; Statistical analysis; Period (music)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005315264,0.0006788759,0.0003777065,0.0009181088,0.001926931,0.003588479,0.0005885959,0.001442502,0.8604755],"category_scores_gemma":[0.001647345,0.0003085721,0.0002722322,0.0008177345,0.0004104228,0.001567459,0.001981281,0.001469209,0.7605931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137641,"about_ca_system_score_gemma":0.001704426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01307364,"about_ca_topic_score_gemma":0.03870151,"domain_scores_codex":[0.999633,0.00003818098,0.00001083254,0.00006350896,0.0001657554,0.00008877285],"domain_scores_gemma":[0.9990436,0.00008802228,0.00003763932,0.00007644103,0.0003760013,0.0003782473],"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":[0.00001402554,0.00001281162,0.0001017685,0.00002411652,5.819076e-7,0.00002921744,0.00003174934,0.00001148158,0.00008845844,0.001135547,0.9721739,0.02637632],"study_design_scores_gemma":[0.000001177569,0.000003683336,0.0001177514,0.00001934826,3.050919e-7,0.00001260039,0.00004305379,0.000006652616,0.00003283924,0.0000632211,0.9996982,0.000001250452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003705616,0.0007912311,0.0002458699,0.002741764,0.002250068,0.00004412944,0.001385387,0.0008457708,0.9913251],"genre_scores_gemma":[0.0006027275,0.0002835105,0.00005419201,0.0001643606,0.0001140288,0.00001087466,0.0002228786,0.0001539185,0.9983935],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8604755,"threshold_uncertainty_score":0.1990146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209157332825325,"score_gpt":0.2229762182741933,"score_spread":0.2108846449459401,"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."}}