{"id":"W6926389099","doi":"10.25318/3310079901-fra","title":"Sources de dépenses des organismes sans but lucratif, 2023","year":2024,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Line (geometry); Identification (biology)","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":[0.0008917315,0.002701821,0.001431213,0.00395238,0.0009475418,0.001864473,0.002094232,0.002458712,0.0256661],"category_scores_gemma":[0.006434151,0.0005678853,0.001617099,0.005471275,0.0004431171,0.0009139625,0.001045385,0.001916226,0.03242572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003327875,"about_ca_system_score_gemma":0.005279483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2740546,"about_ca_topic_score_gemma":0.4103982,"domain_scores_codex":[0.9989299,0.0001036178,0.0001214823,0.0002883274,0.0003433644,0.0002133936],"domain_scores_gemma":[0.9972569,0.0007253492,0.0003392068,0.0003612974,0.0010099,0.0003073519],"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":[0.00009572718,0.00002365097,0.003014927,0.0005381894,0.00004091751,0.00002703868,0.00001963504,0.0003406323,0.0001053125,0.0003028965,0.9927773,0.002713771],"study_design_scores_gemma":[0.0003651128,0.00004181878,0.02776239,0.0005483977,0.00008853037,0.0001569245,0.000172903,0.001222623,0.0006580224,0.001015855,0.9679068,0.00006045532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001971941,0.000130128,0.00002451683,0.00006261864,0.00002252434,0.000004105235,0.99907,0.0001032114,0.0003857768],"genre_scores_gemma":[0.0006933219,0.0001065727,0.0001378823,0.00004750405,0.000009680679,0.00002012644,0.9984118,0.00002068568,0.0005525294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7259454,"threshold_uncertainty_score":0.5449188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007418283858162951,"score_gpt":0.2536886049396202,"score_spread":0.2462703210814572,"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."}}