{"id":"W6926892220","doi":"10.25549/whit-c170-104288","title":"Farm scenes, SS funnels, Canadian conscription, Quebec, Canada, 1941","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Notice; Work (physics); Reproduction; Hay; Envelope (radar)","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":[0.0005032835,0.003661189,0.00142702,0.004157371,0.00266087,0.003223223,0.002917522,0.001937066,0.06232259],"category_scores_gemma":[0.003443126,0.0007891787,0.001328566,0.01021931,0.0007923564,0.001038481,0.001344592,0.00177459,0.08358587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01102201,"about_ca_system_score_gemma":0.01489016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9076314,"about_ca_topic_score_gemma":0.9704773,"domain_scores_codex":[0.9992359,0.00005367465,0.00004532623,0.0002136799,0.000248315,0.0002030174],"domain_scores_gemma":[0.998485,0.0001609633,0.0000808738,0.0002536568,0.0007909274,0.0002286653],"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":[0.0000377722,0.00001300538,0.0007859683,0.0002821916,0.00001842881,0.0000289641,0.00002254547,0.0001465213,0.00007422916,0.0001553647,0.9958239,0.002611037],"study_design_scores_gemma":[0.0001132953,0.00001421739,0.01475601,0.000475368,0.00004267171,0.00009475679,0.0002035571,0.0007174606,0.0003282269,0.000475116,0.9827323,0.00004695268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002463613,0.0002462087,0.00003888512,0.00006273182,0.00002537572,0.00001094347,0.9975899,0.0002956984,0.001483864],"genre_scores_gemma":[0.0006126109,0.0001697597,0.0001675453,0.00003207113,0.00000604267,0.00002197674,0.9972562,0.00004739788,0.00168653],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0923686,"threshold_uncertainty_score":0.2084898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005548835952951033,"score_gpt":0.1463045985269846,"score_spread":0.1407557625740336,"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."}}