{"id":"W2596989195","doi":"10.4000/framespa.4065","title":"Introduction au dossier « Citoyen, cité, espace et communautés sous l'Ancien Régime »","year":2017,"lang":"fr","type":"article","venue":"Les Cahiers de Framespa","topic":"Migration, Health, Geopolitics, Historical Geography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Space (punctuation); Political science; Geography; Regional science; Environmental planning; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.002955834,0.0004799233,0.0006065277,0.0002742849,0.006582947,0.0006164953,0.001411324,0.001490052,0.0008933285],"category_scores_gemma":[0.003010982,0.0005642815,0.0003988129,0.0007131282,0.005961409,0.0008310705,0.0001585329,0.002222846,0.0004642577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003550498,"about_ca_system_score_gemma":0.001321406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09493684,"about_ca_topic_score_gemma":0.03998021,"domain_scores_codex":[0.9942893,0.001506777,0.0006413661,0.000823439,0.0008995806,0.001839545],"domain_scores_gemma":[0.9955335,0.0005145326,0.000789748,0.001823712,0.0003787351,0.0009597258],"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":[0.00007851185,0.0003510735,0.02483131,0.0002262795,0.0001368898,0.00002466564,0.2063946,0.0002037044,0.00004014761,0.5825856,0.1574735,0.02765373],"study_design_scores_gemma":[0.0004239099,0.000165716,0.04037346,0.00007545069,0.0001142905,0.00001244968,0.006765869,0.0003689388,0.00004372968,0.02730568,0.9237732,0.0005773337],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.536019,0.01086075,0.01288647,0.378397,0.01948537,0.001088081,0.0001424334,0.0003642424,0.04075667],"genre_scores_gemma":[0.7391863,0.005215649,0.009395991,0.007818765,0.01890935,0.00009678692,0.00006053202,0.0001416481,0.219175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7662997,"threshold_uncertainty_score":0.9998062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488893459889811,"score_gpt":0.298252938723874,"score_spread":0.2833640041249759,"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."}}