{"id":"W6926678025","doi":"10.25318/1010015901-fra","title":"Dépenses de l'administration fédérale au titre de la culture, selon l'activité culturelle","year":2019,"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":"Power (physics); Identity (music); Context (archaeology)","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":[0.0005336399,0.0005444594,0.0005669725,0.000102902,0.0003484955,0.0001501433,0.000258724,0.0007072953,0.0007814488],"category_scores_gemma":[0.002442283,0.0004983795,0.00007039555,0.000286739,0.0001690734,0.0001210934,0.00005348426,0.0008577242,0.00007358952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00289618,"about_ca_system_score_gemma":0.004608307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1265165,"about_ca_topic_score_gemma":0.4812924,"domain_scores_codex":[0.9971451,0.0003423814,0.0005191591,0.0006271795,0.0006333124,0.0007328595],"domain_scores_gemma":[0.9975148,0.0008201054,0.0004671214,0.000462064,0.0003920204,0.0003439262],"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":[0.0001335172,0.0002194245,0.0001935877,0.001645153,0.0001466304,0.0003261047,0.0003210957,0.00001158761,0.02989925,0.0004988257,0.960668,0.005936833],"study_design_scores_gemma":[0.0003932557,0.0003041682,0.007543428,0.00126565,0.0009790889,0.000302974,0.001004028,0.0002091864,0.07051225,0.0001065582,0.9166564,0.0007230232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004109533,0.001342955,0.0006121074,0.0007748034,0.00174182,0.0007500019,0.9899545,0.00002146017,0.0006927683],"genre_scores_gemma":[0.1316582,0.00132305,0.00261875,0.0003018005,0.001202644,0.000006681745,0.8422985,0.00005316495,0.02053723],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3547759,"threshold_uncertainty_score":0.9997468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00747698749167542,"score_gpt":0.2748020709260159,"score_spread":0.2673250834343405,"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."}}