{"id":"W2940135435","doi":"","title":"Vers une utilisation éco-efficace des matières premières minérales","year":2012,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Outotec (Canada)","funders":"","keywords":"Medicine; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005190697,0.0006085097,0.0005398286,0.0002260976,0.0005970442,0.0005458005,0.0009732844,0.0005586754,0.001014361],"category_scores_gemma":[0.001634802,0.0006725666,0.0003658731,0.0005012659,0.000479803,0.0005646058,0.0005367234,0.001098167,0.0004209079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004883205,"about_ca_system_score_gemma":0.0001474316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006702683,"about_ca_topic_score_gemma":0.004851195,"domain_scores_codex":[0.9926414,0.004558234,0.000862819,0.0007260873,0.0005256764,0.0006857773],"domain_scores_gemma":[0.994604,0.001793761,0.0005011894,0.001634298,0.001074942,0.0003917936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003079932,0.001066815,0.004259804,0.001527974,0.0004180807,0.000004328287,0.03403332,0.005538931,0.06422059,0.3047515,0.00201835,0.5821295],"study_design_scores_gemma":[0.001239224,0.000001149887,0.08881543,0.007760026,0.0004382013,0.00006090003,0.00155006,0.1593799,0.2116672,0.004368951,0.522635,0.002083864],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.432925,0.01089475,0.2712241,0.01181494,0.002040414,0.0009790551,0.0001115414,0.0009293725,0.2690808],"genre_scores_gemma":[0.8900693,0.001893856,0.08113217,0.00003263555,0.0001191474,0.00006283764,0.0004782637,0.00009963642,0.02611217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5800456,"threshold_uncertainty_score":0.9999118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256838152109689,"score_gpt":0.2323220393413608,"score_spread":0.2097536578202639,"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."}}