{"id":"W1524007543","doi":"10.4000/cybergeo.7872","title":"Analyse des aires de marché du commerce de détail à Québec : une méthodologie combinant une enquête de mobilité et un système d’information géographique","year":2011,"lang":"fr","type":"article","venue":"Cybergeo","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Metropolitan area; Political science; Geography; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001059159,0.0006872493,0.0006370355,0.003392223,0.001184293,0.00294857,0.00076633,0.0006385618,0.004472671],"category_scores_gemma":[0.004381767,0.0004054387,0.001147112,0.005550414,0.000837973,0.00086312,0.0008683553,0.0007000833,0.0003791577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006568144,"about_ca_system_score_gemma":0.005247088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8058496,"about_ca_topic_score_gemma":0.8269849,"domain_scores_codex":[0.9992673,0.0002455164,0.00004255289,0.0001654283,0.000200768,0.00007848351],"domain_scores_gemma":[0.9982613,0.0009278551,0.0001151721,0.0001424344,0.0005122669,0.00004096859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004267683,0.0002330874,0.3770489,0.001170594,0.0009557881,0.0008416713,0.0191396,0.2339792,0.008789539,0.03702572,0.003571632,0.3168175],"study_design_scores_gemma":[0.00005025169,0.0001253882,0.4249743,0.0002042556,0.000298591,0.0001883474,0.01351457,0.5130566,0.006097105,0.008682026,0.03266064,0.0001480316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7219275,0.0008850631,0.2542672,0.000614498,0.00004496121,0.0006891745,0.005478676,0.0005562995,0.01553658],"genre_scores_gemma":[0.842196,0.0004493204,0.144292,0.00004150395,0.00001066596,0.0005093174,0.002389772,0.00007468703,0.01003679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1941504,"threshold_uncertainty_score":0.3905876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05380997856957438,"score_gpt":0.2987048425848982,"score_spread":0.2448948640153238,"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."}}