{"id":"W4220729556","doi":"10.3917/lna.106.0001","title":"La revanche des villes moyennes, vraiment ?","year":2022,"lang":"fr","type":"article","venue":"La note d analyse","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Réseau Technoscience","funders":"","keywords":"Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003741876,0.001034417,0.0009243085,0.002413565,0.008201863,0.01679713,0.001090962,0.004052024,0.02046056],"category_scores_gemma":[0.009560149,0.000528602,0.001129938,0.002998202,0.008162218,0.009716998,0.002385864,0.006805643,0.001995758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02048388,"about_ca_system_score_gemma":0.008171944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4000912,"about_ca_topic_score_gemma":0.3252065,"domain_scores_codex":[0.9942991,0.003184113,0.0001065008,0.0007232181,0.0007995437,0.0008874666],"domain_scores_gemma":[0.996738,0.001560985,0.0003692264,0.0003521506,0.0006244256,0.0003552723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001190203,0.00004260922,0.003801649,0.0002114547,0.00006671725,0.0006796229,0.01726385,0.0006882816,0.0006510612,0.9269633,0.01476976,0.03474261],"study_design_scores_gemma":[0.00004452834,0.00005725639,0.02729898,0.0005923635,0.00003781956,0.001044565,0.0398329,0.0008870493,0.0005796477,0.03795081,0.8915992,0.00007495068],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2106684,0.05248392,0.01511177,0.1053826,0.003125715,0.00008062019,0.001173784,0.0004545228,0.6115186],"genre_scores_gemma":[0.8641212,0.01064289,0.003844137,0.002366687,0.001283238,0.00006628144,0.0002739689,0.0002421327,0.1171595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4000912,"threshold_uncertainty_score":0.7955248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03550865887025742,"score_gpt":0.2908854617089647,"score_spread":0.2553768028387072,"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."}}