{"id":"W6889004522","doi":"10.25318/2710033201-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 et la nature de la recherche et développement","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Historical Geography and Cartography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Human science; Natural science","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":[0.001661093,0.001200502,0.00120385,0.006839818,0.001213134,0.002891508,0.001424298,0.001078599,0.01816374],"category_scores_gemma":[0.01379935,0.0005287069,0.00106197,0.01611297,0.0006114001,0.001521498,0.001691989,0.001437273,0.01548585],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006193982,"about_ca_system_score_gemma":0.0100164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4513508,"about_ca_topic_score_gemma":0.5806131,"domain_scores_codex":[0.996857,0.0003563895,0.0003932079,0.0007028823,0.00118844,0.0005019962],"domain_scores_gemma":[0.993238,0.001680644,0.000861798,0.0009848628,0.002851858,0.0003827325],"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":[0.0002069964,0.00003244212,0.02295655,0.001439071,0.0001110383,0.00006582779,0.0002564207,0.0005623393,0.000269203,0.003009726,0.9574729,0.01361737],"study_design_scores_gemma":[0.00005448336,0.00001167129,0.04720126,0.000404382,0.00004768966,0.000072221,0.0004628838,0.0002958994,0.0005009428,0.0006033177,0.9503165,0.00002866994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001561182,0.0004457287,0.0001275007,0.0001674554,0.00004943925,0.0000129649,0.9940482,0.0001359417,0.003451526],"genre_scores_gemma":[0.004987398,0.0005283451,0.0005065609,0.0001016761,0.00002843862,0.00007727816,0.9886075,0.0000709111,0.005091968],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9983389,"threshold_uncertainty_score":0.8974473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101183596809575,"score_gpt":0.4308617546357196,"score_spread":0.3207433949547621,"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."}}