{"id":"W4295253169","doi":"","title":"La scène comme concept-outil. Analyse comparative internationale des cas de Paris, Sydney et Québec","year":2014,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Humanities; Art","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":[0.001585101,0.0005682676,0.0004878562,0.009867959,0.005325495,0.006631051,0.0007983955,0.0006707358,0.01587035],"category_scores_gemma":[0.002535396,0.0003317274,0.000590776,0.02476278,0.004480502,0.002864567,0.001359446,0.001471165,0.0004918916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07610231,"about_ca_system_score_gemma":0.03987441,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9655168,"about_ca_topic_score_gemma":0.9792683,"domain_scores_codex":[0.9987275,0.0004160725,0.00004586307,0.0001608933,0.0003343367,0.0003153583],"domain_scores_gemma":[0.9979297,0.0005080008,0.0002020527,0.00008074838,0.001101633,0.000178001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001767095,0.00006042376,0.05832623,0.001026854,0.0002462232,0.00113188,0.1013467,0.001577227,0.001433863,0.6634083,0.05814948,0.1131161],"study_design_scores_gemma":[0.00001709883,0.00005166566,0.3781464,0.001038717,0.0001263409,0.0003389401,0.106667,0.000677401,0.000686232,0.01115113,0.5010317,0.00006732832],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4461327,0.07126608,0.006410768,0.02110358,0.0007722931,0.0001664135,0.01104441,0.0001542187,0.4429496],"genre_scores_gemma":[0.9262651,0.009334208,0.002922015,0.0004926528,0.00009781217,0.0001424768,0.001422489,0.00008591692,0.0592374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07610231,"threshold_uncertainty_score":0.5521635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06625403181545209,"score_gpt":0.3064230310804094,"score_spread":0.2401689992649573,"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."}}