{"id":"W6986590802","doi":"","title":"Potentiel des friches industrielles des secteurs de gare pour un développement urbain durable. Reconversion du secteur Gare/Crêt-Taconnet à Neuchâtel.","year":2005,"lang":"fr","type":"article","venue":"IRIS","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Self employed; Quarter (Canadian coin); Private sector","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":[0.0006913501,0.0002916282,0.0001542849,0.0009688206,0.001507563,0.001273818,0.0003052497,0.0003918038,0.008550198],"category_scores_gemma":[0.0008385956,0.0001415766,0.0002411925,0.001169111,0.0006774385,0.0005178003,0.0009108581,0.0004141146,0.0006379614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004254866,"about_ca_system_score_gemma":0.002867204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2152765,"about_ca_topic_score_gemma":0.4932272,"domain_scores_codex":[0.9994889,0.0001395955,0.00001253094,0.00006594786,0.0001138238,0.0001791989],"domain_scores_gemma":[0.9993643,0.0001562134,0.0001274812,0.00003419631,0.0001738776,0.00014393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000769997,0.0002443277,0.5675383,0.0005843024,0.0001327807,0.003254253,0.1066107,0.001604587,0.02121228,0.03276534,0.005448876,0.2598343],"study_design_scores_gemma":[0.000007363035,0.0001108042,0.9016466,0.0001088215,0.00002103407,0.0003824074,0.03245338,0.0001832149,0.001257126,0.0004042917,0.06341115,0.0000138923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664931,0.00181605,0.0003195466,0.0006029754,0.00001768787,0.00001887302,0.0002542431,0.00001045515,0.0304671],"genre_scores_gemma":[0.9802659,0.0007228812,0.0006038672,0.00007906881,0.000008151888,0.00001992233,0.0001520384,0.000006629834,0.01814147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2152765,"threshold_uncertainty_score":0.4280469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05206115741051598,"score_gpt":0.2490708154455843,"score_spread":0.1970096580350683,"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."}}