{"id":"W6926467309","doi":"10.25318/2710011601-fra","title":"Innovation et les stratégies d'entreprise, l'impartition des activités commerciales du Canada vers l'étranger au cours des trois dernières années","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Statistical Mechanics and Entropy","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Statistical analysis; Government (linguistics)","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":[0.001129898,0.001359615,0.0008603808,0.005694692,0.001283571,0.002658456,0.001922746,0.001396905,0.01742969],"category_scores_gemma":[0.008574383,0.0003916225,0.001035989,0.01055454,0.0006245533,0.001308824,0.001316559,0.001962359,0.01378004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01060909,"about_ca_system_score_gemma":0.01680614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8204551,"about_ca_topic_score_gemma":0.904224,"domain_scores_codex":[0.9987127,0.000113681,0.00009672987,0.0002597221,0.0004998361,0.0003175031],"domain_scores_gemma":[0.9955356,0.0009010796,0.000473265,0.0004916749,0.002139149,0.0004592439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007025345,0.00002271921,0.01010255,0.0003689167,0.00003891596,0.00002476847,0.00008991201,0.0006039658,0.00008654872,0.002350792,0.9807397,0.005500949],"study_design_scores_gemma":[0.00009611667,0.00001250453,0.06150587,0.000291543,0.00004244821,0.00005509082,0.0003499716,0.001326399,0.0003819275,0.001517242,0.9343727,0.00004820165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001044677,0.0002052754,0.00007541368,0.0002309503,0.00002940152,0.000008593925,0.9959299,0.000117521,0.002358195],"genre_scores_gemma":[0.003846392,0.0002306446,0.0003384934,0.00006705005,0.00001519172,0.00004137596,0.991712,0.00003601105,0.003712858],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1795449,"threshold_uncertainty_score":0.3612044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069904980008575,"score_gpt":0.2766491852545567,"score_spread":0.2559501354544709,"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."}}