{"id":"W1965001856","doi":"10.4000/vertigo.3628","title":"Tous vulnérables ? le diagnostic de vulnérabilité aux aléas de l’érosion : un outil pour l’action collective","year":2005,"lang":"fr","type":"article","venue":"VertigO","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004771859,0.0003266106,0.0003035229,0.00003539765,0.001041293,0.0001709232,0.0003752156,0.0004274843,0.00244864],"category_scores_gemma":[0.0007609797,0.000150939,0.000191472,0.0007665407,0.0001933822,0.0003571966,0.0001585853,0.0004558958,0.0008540286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008423449,"about_ca_system_score_gemma":0.0005216014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002905869,"about_ca_topic_score_gemma":0.002262529,"domain_scores_codex":[0.9971491,0.0004135783,0.0003613681,0.0005428508,0.0004184533,0.001114688],"domain_scores_gemma":[0.9981075,0.00105707,0.00009717061,0.00009565442,0.0002276569,0.0004149419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002000173,0.00167276,0.1127647,0.0000952948,0.0001280609,0.00008670575,0.001397862,0.0005008128,0.1519344,0.007037773,0.2304913,0.4936903],"study_design_scores_gemma":[0.0006896764,0.0006080325,0.6538271,0.0002272212,0.00007041673,0.0001358804,0.001868607,0.0009402188,0.09781004,0.02392295,0.2192203,0.0006795957],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.861056,0.006881366,0.000336172,0.1240454,0.0004272393,0.000558893,0.00003545524,0.0001211703,0.006538276],"genre_scores_gemma":[0.8755246,0.002922522,0.001490876,0.0008906344,0.001275282,0.00007708676,0.00004667534,0.000005209809,0.1177671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5410624,"threshold_uncertainty_score":0.9999239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03013495802630421,"score_gpt":0.2603936858820287,"score_spread":0.2302587278557245,"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."}}