{"id":"W6913270679","doi":"10.5683/sp3/olas0y","title":"Quoi de neuf à l’IDD","year":2019,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Context (archaeology); Statistical analysis; Selection (genetic algorithm)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001172338,0.00133536,0.001136103,0.003218717,0.001325142,0.003501039,0.00155382,0.001863193,0.02730348],"category_scores_gemma":[0.005593549,0.000418004,0.001355923,0.00383047,0.0006061675,0.001823701,0.00148591,0.001770486,0.03206882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002841406,"about_ca_system_score_gemma":0.004082343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.257401,"about_ca_topic_score_gemma":0.5381266,"domain_scores_codex":[0.9986577,0.0001896252,0.00008411224,0.000390045,0.0003770785,0.0003014423],"domain_scores_gemma":[0.9981728,0.0003370701,0.0001838101,0.0004273598,0.0006710837,0.0002078137],"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":[0.0001320674,0.00002085962,0.006157957,0.0003260275,0.00004342513,0.00003629607,0.00007174604,0.0002388032,0.0001390073,0.001389442,0.9851591,0.006285241],"study_design_scores_gemma":[0.00006276939,0.00001542274,0.01749001,0.0002100257,0.00003549278,0.0000833626,0.000236123,0.0003899717,0.0003357034,0.0009277187,0.9801846,0.00002871745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001658739,0.0005356037,0.0002302668,0.0006682916,0.000278835,0.00001395995,0.9888328,0.0004267504,0.007354775],"genre_scores_gemma":[0.003941882,0.0001881426,0.0005881654,0.0002310515,0.00004412404,0.00003804967,0.9880137,0.0001022843,0.006852482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.257401,"threshold_uncertainty_score":0.5118055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0293672488958399,"score_gpt":0.2901038985983662,"score_spread":0.2607366497025263,"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."}}