{"id":"W6945196758","doi":"10.25318/3310058601-fra","title":"Profils des entreprises du Canada rural, postes de dépenses des petites entreprises selon l’industrie, l’indicateur d'emplacement et la forme juridique; calculs basés sur la marge bénéficiaire","year":2023,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publics; Work (physics); Context (archaeology); Liberian dollar; Legislation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007848766,0.0007773145,0.0006652389,0.00007536499,0.00115073,0.0004214434,0.0006372646,0.000441045,0.0007662328],"category_scores_gemma":[0.002834587,0.0004838252,0.00009456307,0.0006327918,0.0004341326,0.0002197757,0.0002129796,0.0005246007,0.0000267265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228157,"about_ca_system_score_gemma":0.003446694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9219714,"about_ca_topic_score_gemma":0.9979531,"domain_scores_codex":[0.9953417,0.0007177725,0.0008573006,0.0007918077,0.001134012,0.001157457],"domain_scores_gemma":[0.9922502,0.005760203,0.0007055584,0.0002202751,0.000541864,0.0005218738],"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":[0.00007080839,0.0002033861,0.01380567,0.0006418235,0.0001324671,0.001376775,0.00006588377,0.00005050817,0.004854186,0.00145408,0.9655477,0.01179666],"study_design_scores_gemma":[0.0002333824,0.000155767,0.3610556,0.001523453,0.0002847718,0.0001657768,0.002134145,0.00007628416,0.002915504,0.000298266,0.6300554,0.001101637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2060576,0.0007917662,0.00004226116,0.001294826,0.000416032,0.0005901082,0.790567,0.00004965631,0.0001907858],"genre_scores_gemma":[0.05244073,0.01260559,0.0004491471,0.0002705301,0.0002707964,0.0001549859,0.9221518,0.00002883597,0.01162759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.34725,"threshold_uncertainty_score":0.9997613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009197883678297682,"score_gpt":0.2317314930763906,"score_spread":0.2225336093980929,"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."}}