{"id":"W6991649977","doi":"","title":"Hour 2, Segments 1 and 2 - Maxime Bernier","year":2017,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Race (biology); Theme (computing); Population; Context (archaeology)","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":["insufficient_payload"],"category_scores_codex":[0.0007122732,0.0009836893,0.0005638053,0.0007510222,0.004337618,0.005034716,0.000865738,0.002144577,0.8074671],"category_scores_gemma":[0.002811611,0.0005271771,0.000491571,0.0008810717,0.0004102401,0.002386151,0.003751225,0.002842622,0.6747854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559855,"about_ca_system_score_gemma":0.002444413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01500557,"about_ca_topic_score_gemma":0.06155868,"domain_scores_codex":[0.9993312,0.00005359562,0.00001107884,0.00009753068,0.0002630111,0.000243593],"domain_scores_gemma":[0.9975075,0.0001015502,0.00004534199,0.00008119643,0.0006643675,0.001600153],"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":[0.00001115129,0.000007954476,0.00002347204,0.00001016382,1.544813e-7,0.00001221721,0.00002483846,0.000004620226,0.00004732452,0.0001715334,0.9959977,0.003688887],"study_design_scores_gemma":[0.000004622883,0.00001080521,0.0003433356,0.00002122013,4.045807e-7,0.00002209153,0.0001884757,0.00001335307,0.00004566227,0.0001086847,0.999238,0.000003310623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001153609,0.0007829738,0.0008518669,0.008502407,0.01581688,0.000390017,0.003767562,0.002354952,0.9663796],"genre_scores_gemma":[0.001570267,0.0001899161,0.0001734023,0.0006803519,0.0005524382,0.00006218235,0.000647613,0.0004814563,0.9956424],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1925329,"threshold_uncertainty_score":0.2746248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00757944001096996,"score_gpt":0.1980751107329561,"score_spread":0.1904956707219861,"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."}}