{"id":"W7009797820","doi":"","title":"Évaluation et la représentation spatiotemporelle de l'accessibilité des réseaux piétonniers pour le déplacement des personnes à mobilité réduite","year":2019,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poison control; Quantitative methodology; Digital inclusion","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":[0.004090214,0.0004995076,0.0005077469,0.002697847,0.0008824092,0.00501531,0.0008006572,0.0008931655,0.01808271],"category_scores_gemma":[0.02075864,0.0003122328,0.0009926269,0.002999009,0.0008907609,0.003399618,0.001451442,0.0007015982,0.002733898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002551295,"about_ca_system_score_gemma":0.002591254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03355639,"about_ca_topic_score_gemma":0.03662596,"domain_scores_codex":[0.9970407,0.001154964,0.0001851629,0.0005415273,0.0008952593,0.0001823643],"domain_scores_gemma":[0.9895411,0.005206273,0.001052828,0.0007194057,0.003144414,0.0003360159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001856864,0.0003848715,0.1256087,0.003227246,0.0003612948,0.0004747376,0.03680186,0.02141662,0.01232147,0.03893466,0.01543442,0.7431772],"study_design_scores_gemma":[0.0002083681,0.001569687,0.4753268,0.003710076,0.000876601,0.0008515956,0.07547264,0.1741392,0.02008575,0.02699092,0.2201921,0.0005762525],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7613581,0.003616035,0.1171984,0.001967919,0.0002409463,0.0007617268,0.006087577,0.001907268,0.1068621],"genre_scores_gemma":[0.939435,0.001254435,0.03976616,0.0000939347,0.00002533086,0.0005278576,0.001927247,0.0002015909,0.01676841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03355639,"threshold_uncertainty_score":0.06672215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949463859741966,"score_gpt":0.2515576355997989,"score_spread":0.2320629970023793,"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."}}