{"id":"W1990163911","doi":"10.1080/07053436.2007.10707747","title":"Diagnostic touristique régional : le cas du Languedoc-Roussillon","year":2007,"lang":"fr","type":"article","venue":"Loisir et Société / Society and Leisure","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001033136,0.0003069891,0.0003667698,0.004669356,0.001404342,0.002420465,0.0006117506,0.0004201867,0.006476949],"category_scores_gemma":[0.003319203,0.0001367371,0.0003343009,0.005718812,0.001006513,0.0006965383,0.001470014,0.0004888132,0.0003267503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00470713,"about_ca_system_score_gemma":0.003168757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5481961,"about_ca_topic_score_gemma":0.6389131,"domain_scores_codex":[0.9989917,0.0002685934,0.00006788158,0.0001483659,0.0001849004,0.0003385044],"domain_scores_gemma":[0.9981122,0.0003911676,0.0005173707,0.00006441241,0.0006230953,0.0002918022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002304875,0.00003720308,0.9114389,0.0005365755,0.0001005081,0.007027541,0.02045198,0.0006722999,0.001085376,0.006029628,0.004468298,0.04792106],"study_design_scores_gemma":[0.000007365722,0.00004536257,0.928611,0.0003781381,0.00006656835,0.003243325,0.03399702,0.0008746545,0.0003587255,0.0003452117,0.03204186,0.0000308618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753328,0.005381377,0.0002883128,0.001083896,0.00004610204,0.0000390301,0.001336976,0.00003070238,0.01646077],"genre_scores_gemma":[0.9963947,0.0009171,0.0003752834,0.00004691729,0.00001857005,0.00001466562,0.0004841355,0.000008535168,0.001740284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5481961,"threshold_uncertainty_score":0.9089292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884338467467384,"score_gpt":0.3392093714843485,"score_spread":0.3203659868096747,"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."}}