{"id":"W6945275038","doi":"10.25318/2710032701-fra","title":"Dépenses intra-muros au titre de la recherche et développement des organismes privés sans but lucratif, selon le domaine de la recherche et développement","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Identity (music); Research methodology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002132111,0.001315816,0.001484053,0.007688405,0.001096376,0.002745602,0.001656304,0.001094872,0.02672276],"category_scores_gemma":[0.01964198,0.0005961614,0.001352343,0.02056862,0.0006153249,0.001384926,0.001661276,0.001714388,0.01577921],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009158841,"about_ca_system_score_gemma":0.01972491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6829439,"about_ca_topic_score_gemma":0.7725233,"domain_scores_codex":[0.9963467,0.0004280885,0.0005645384,0.0006872797,0.001439751,0.0005337258],"domain_scores_gemma":[0.9878702,0.003553369,0.00148002,0.001004334,0.005428378,0.0006636399],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000125693,0.00001591502,0.01347118,0.001233366,0.0001033224,0.00002854712,0.00009715182,0.0002766266,0.00008465179,0.001136159,0.9771578,0.006269517],"study_design_scores_gemma":[0.0001172852,0.00001461134,0.06805396,0.0008296401,0.0001076992,0.00008897713,0.0004410798,0.0002721086,0.000384792,0.0006745367,0.9289648,0.00005061948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004371325,0.0003174953,0.00004894839,0.0001628552,0.00002972822,0.000008833034,0.9975546,0.00005683254,0.001383444],"genre_scores_gemma":[0.003560597,0.0007495522,0.0003641297,0.0001654891,0.00002608222,0.00009795382,0.9912078,0.00006030894,0.003768038],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9978679,"threshold_uncertainty_score":0.6378466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1273303589406078,"score_gpt":0.4071924463195838,"score_spread":0.279862087378976,"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."}}