{"id":"W6963866849","doi":"10.25318/2710032801-fra","title":"Dépenses intra-muros au titre de la recherche et développement des organismes privés sans but lucratif, selon la nature 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); Center (category theory); Identity (music)","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":[0.002379037,0.001485792,0.001527702,0.008450236,0.001542315,0.003728283,0.001648919,0.001231921,0.02645895],"category_scores_gemma":[0.01964954,0.0006696883,0.001187126,0.02035705,0.0008069747,0.001839387,0.001794316,0.002077881,0.01950612],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01118298,"about_ca_system_score_gemma":0.0218372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6891856,"about_ca_topic_score_gemma":0.7981766,"domain_scores_codex":[0.9951313,0.0005071511,0.0005815644,0.001010748,0.002101511,0.0006678628],"domain_scores_gemma":[0.9845815,0.004337656,0.001361715,0.001449294,0.007492651,0.0007772081],"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":[0.0001193958,0.00001557863,0.008737031,0.001060345,0.00007221767,0.00003375973,0.0001458626,0.0002731186,0.000183388,0.001773498,0.9796469,0.007938871],"study_design_scores_gemma":[0.00005435753,0.000009719603,0.03227007,0.0004712083,0.00005172605,0.00006315695,0.0003775162,0.0002070552,0.0005125736,0.0006468665,0.9652915,0.00004426706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006339109,0.000491478,0.0001090162,0.0002295557,0.00005341589,0.00001278977,0.9956684,0.0001373579,0.002664108],"genre_scores_gemma":[0.003635901,0.0008863154,0.0006312687,0.0001824078,0.00003304552,0.00009822431,0.9885047,0.0001241044,0.005904105],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.988817,"threshold_uncertainty_score":0.6252898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090691989070269,"score_gpt":0.4186724950322129,"score_spread":0.3096032961251859,"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."}}