{"id":"W4299845335","doi":"","title":"Gestion des sédiments de dragage pollués.","year":2006,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Historical and Environmental Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Geology; Computer science","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":[0.0005710106,0.001468596,0.001137909,0.002915858,0.002577799,0.003532048,0.0004351758,0.002122545,0.003531365],"category_scores_gemma":[0.001600905,0.0005783602,0.0008663091,0.001929479,0.001481801,0.001323085,0.001435663,0.001934821,0.001543917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001875524,"about_ca_system_score_gemma":0.000916694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08322712,"about_ca_topic_score_gemma":0.09800058,"domain_scores_codex":[0.9993932,0.00009808839,0.00002369148,0.0002152148,0.0001841566,0.00008560302],"domain_scores_gemma":[0.9995551,0.000149211,0.00006810017,0.0000260137,0.0001194252,0.00008216635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004501322,0.000314372,0.3003043,0.00147435,0.001554856,0.008626724,0.01611908,0.008279957,0.5100745,0.004385307,0.003196274,0.1411689],"study_design_scores_gemma":[0.0001151726,0.000488172,0.9327031,0.0001023427,0.0001935961,0.001540699,0.005796042,0.002804435,0.02242378,0.0007976823,0.03294754,0.0000873082],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97773,0.002039307,0.006187265,0.0004446957,0.0003105193,0.00007221907,0.001857501,0.0001671908,0.01119134],"genre_scores_gemma":[0.9754647,0.001397107,0.00522772,0.00011225,0.0001364004,0.00006151052,0.001316239,0.00007964676,0.01620445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08322712,"threshold_uncertainty_score":0.1654854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02071557315102835,"score_gpt":0.2290055641600666,"score_spread":0.2082899910090383,"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."}}