{"id":"W6926317483","doi":"10.25318/2710035701-fra","title":"Changements et événements qui ont influencé les dépenses au titre de la recherche et développement des entreprises","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Christian ministry; Economic power","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":[0.00247422,0.001453429,0.001289777,0.006178067,0.001006573,0.002846478,0.001736033,0.001253778,0.03918458],"category_scores_gemma":[0.02944273,0.00058595,0.001694288,0.01205192,0.0005521496,0.001387754,0.001500333,0.001671682,0.02270771],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004690271,"about_ca_system_score_gemma":0.009220276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2632644,"about_ca_topic_score_gemma":0.3643402,"domain_scores_codex":[0.9961676,0.0006271839,0.0006615474,0.0009892767,0.001058599,0.0004957432],"domain_scores_gemma":[0.9844334,0.007198597,0.001665991,0.001677047,0.004404115,0.0006208417],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002061602,0.00002925301,0.01879906,0.001799252,0.000202179,0.00004373137,0.00009595351,0.0007110047,0.0001541252,0.001116137,0.9691106,0.007732459],"study_design_scores_gemma":[0.0002500111,0.00003072954,0.06014898,0.000961959,0.0001621723,0.00008948398,0.0003662032,0.0005774994,0.0005073081,0.0012323,0.9356073,0.00006614919],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005463033,0.0001810824,0.00007815096,0.0001490786,0.00003500528,0.00001055348,0.9978566,0.0001202918,0.001022901],"genre_scores_gemma":[0.003520453,0.0002437414,0.000465332,0.0001272158,0.00001939531,0.0001058417,0.9933467,0.00009064617,0.002080656],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9975258,"threshold_uncertainty_score":0.523464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08243644014477497,"score_gpt":0.3927752156115726,"score_spread":0.3103387754667977,"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."}}