{"id":"W6926656391","doi":"10.25318/2710030301-fra","title":"Facteur de motivation principal pour l'utilisation ou le développement des bioproduits, selon l'industrie et la taille de l'entreprise","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Bacterial Infections and Vaccines","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Principal (computer security); Context (archaeology); Agrégation","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006843077,0.000466774,0.0004095541,0.0002023814,0.0005108682,0.0001214697,0.0002390136,0.0007358883,0.001096876],"category_scores_gemma":[0.001713265,0.0005276754,0.00005093606,0.0002614505,0.0001142177,0.0001796534,0.0001091824,0.0006382472,0.00008193873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469485,"about_ca_system_score_gemma":0.003020794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1404357,"about_ca_topic_score_gemma":0.2597324,"domain_scores_codex":[0.9973242,0.0007438816,0.0006493771,0.0005591455,0.0001042572,0.000619125],"domain_scores_gemma":[0.9975423,0.0008594945,0.0005918177,0.0004089288,0.0004958038,0.0001016739],"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":[0.00008749571,0.0003496376,0.01737035,0.0003659716,0.0002360178,0.00001234505,0.0003714987,0.0001468501,0.02517088,0.002039407,0.938763,0.01508655],"study_design_scores_gemma":[0.0008763299,0.0001309299,0.4765005,0.0003593212,0.0002710281,0.00007737535,0.0008263467,0.00008645091,0.01449774,0.000426014,0.5053722,0.0005757004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2471963,0.0002708057,0.01522919,0.001773982,0.001613979,0.000717224,0.7331026,0.0000333973,0.00006256538],"genre_scores_gemma":[0.1231072,0.0009731872,0.001196466,0.00009007108,0.0001185987,0.00007668264,0.8685842,0.00004750932,0.005806067],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4591302,"threshold_uncertainty_score":0.9998162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277936262617249,"score_gpt":0.2834065379597235,"score_spread":0.2606271753335511,"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."}}