{"id":"W3047220067","doi":"","title":"Paysages agricoles et continuités écologiques : caractérisations, formes et fonctionnalités des TVB","year":2015,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Saint-Laurent","funders":"","keywords":"Geography; Forestry","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":[0.001486649,0.000368783,0.0004534798,0.001985602,0.0008279158,0.00281385,0.0005179728,0.0005472912,0.01286139],"category_scores_gemma":[0.007368748,0.0002693463,0.0004652787,0.00415866,0.0008585304,0.0009460024,0.0009609038,0.0007269537,0.001064327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225441,"about_ca_system_score_gemma":0.0006445822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05518586,"about_ca_topic_score_gemma":0.033593,"domain_scores_codex":[0.9990903,0.0003661402,0.00004206549,0.0001807878,0.0001795387,0.0001412767],"domain_scores_gemma":[0.991029,0.005420469,0.001053975,0.0004299292,0.001388401,0.000678251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004077452,0.0001120106,0.9497642,0.0001508649,0.0002060459,0.0002303776,0.01025597,0.0009248268,0.002513811,0.005323783,0.0007192894,0.0293911],"study_design_scores_gemma":[0.00000500271,0.00004184993,0.9908435,0.00003783116,0.00003751639,0.0001226243,0.004259797,0.0005685663,0.0001841211,0.0006060443,0.003283652,0.000009405585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844711,0.0008742269,0.001046172,0.0002137583,0.00001089369,0.00001123194,0.00120753,0.00005555607,0.01210945],"genre_scores_gemma":[0.9957295,0.0002708173,0.0004993392,0.00001512415,0.00001388672,0.00002014393,0.0006126711,0.00002080572,0.002817711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05518586,"threshold_uncertainty_score":0.1097293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05063517442429238,"score_gpt":0.2850279703327416,"score_spread":0.2343927959084492,"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."}}