{"id":"W2624402416","doi":"10.4000/vertigo.18401","title":"Mobiliser la propriété publique en faveur de l’agriculture périurbaine ? Le cas de la région de Montpellier (France)","year":2017,"lang":"fr","type":"article","venue":"VertigO","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Political science; Humanities; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001677802,0.0002923099,0.0003645064,0.00003444974,0.00190601,0.0005214063,0.0007454101,0.000757779,0.00008727185],"category_scores_gemma":[0.001698406,0.000258992,0.0002211509,0.0002157654,0.001580088,0.0005588399,0.0001808446,0.0005980033,0.00005857641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129293,"about_ca_system_score_gemma":0.001048531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05733037,"about_ca_topic_score_gemma":0.0149686,"domain_scores_codex":[0.9969887,0.0009820332,0.0002513228,0.0003895363,0.0004484433,0.0009399861],"domain_scores_gemma":[0.9985685,0.0003008101,0.0001933421,0.0003502608,0.00023831,0.0003487709],"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":[0.00003584551,0.0006255179,0.1152351,0.0001411867,0.0002190407,0.0002301941,0.1195701,0.00009723785,0.001645044,0.4445597,0.305618,0.01202304],"study_design_scores_gemma":[0.0005270989,0.00005259193,0.1161642,0.0000899234,0.00005761372,0.00001128408,0.002023587,0.0001618836,0.0006871552,0.01707221,0.8628123,0.0003401612],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5301837,0.03782926,0.001160806,0.04321702,0.001702759,0.000820923,0.00004197692,0.0001897719,0.3848537],"genre_scores_gemma":[0.8123612,0.005185662,0.0009113468,0.0007902549,0.001667951,0.00008302827,0.000003296627,0.00003188061,0.1789653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5571943,"threshold_uncertainty_score":0.9999862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253478421147119,"score_gpt":0.2588629058603646,"score_spread":0.2463281216488934,"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."}}