{"id":"W6964336745","doi":"10.25318/2310002801-fra","title":"Mouvements itinérants, par règle de vol (vols visuels et vols aux instruments) et piste 88, dans les aéroports avec une station d'information de vol de NAV CANADA, annuel","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Palivizumab; Indignation","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":[0.000720554,0.001423423,0.001253298,0.003994604,0.001069779,0.002271952,0.00200254,0.001215019,0.03253022],"category_scores_gemma":[0.007500078,0.0006779972,0.001086218,0.0120911,0.0003493203,0.001077173,0.001219684,0.002049686,0.02700896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006365153,"about_ca_system_score_gemma":0.01449164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8376004,"about_ca_topic_score_gemma":0.88722,"domain_scores_codex":[0.9988662,0.00007862502,0.0001326497,0.0002971913,0.0003527024,0.0002726445],"domain_scores_gemma":[0.9957162,0.0006071138,0.0004942013,0.0003921407,0.002372015,0.0004183965],"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":[0.00005126165,0.000009946438,0.004026771,0.0002887317,0.00003147543,0.00001213952,0.00002561171,0.0003616298,0.00003999544,0.0004171967,0.9930521,0.001683236],"study_design_scores_gemma":[0.0002257713,0.00001646554,0.05350865,0.0004932414,0.00005671104,0.00004866043,0.0002998078,0.0008005074,0.0002505595,0.0006935679,0.943551,0.00005514091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002063126,0.0000589279,0.00002287697,0.00005690557,0.00001624209,0.000003407652,0.9991165,0.0000576031,0.0004611945],"genre_scores_gemma":[0.001101189,0.0001210278,0.000145236,0.00004832308,0.00001089783,0.00003114583,0.9965099,0.00004013351,0.001992154],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1623996,"threshold_uncertainty_score":0.3267121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008203892142675995,"score_gpt":0.2776533707235923,"score_spread":0.2694494785809163,"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."}}