{"id":"W3122982456","doi":"","title":"Optimal resource extraction contract with adverse selection","year":2006,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Adverse selection; Selection (genetic algorithm); Extraction (chemistry); Resource (disambiguation); Computer science; Business; Actuarial science; Artificial intelligence; Chemistry; Chromatography","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":[0.01212826,0.001682002,0.005087036,0.001915071,0.001589573,0.005759258,0.003286233,0.008660666,0.023902],"category_scores_gemma":[0.04451402,0.001294015,0.001384512,0.002065475,0.004343848,0.007391243,0.00328354,0.005600341,0.002197627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003320335,"about_ca_system_score_gemma":0.004214329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001740231,"about_ca_topic_score_gemma":0.0009752022,"domain_scores_codex":[0.9921186,0.004342383,0.0003541595,0.0009667337,0.001167951,0.001050162],"domain_scores_gemma":[0.962844,0.02758167,0.002516044,0.002898781,0.00186397,0.002295471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001035745,0.0002843144,0.001186296,0.000382061,0.0001101377,0.0005163516,0.0001491968,0.1247359,0.001286831,0.8244272,0.01382829,0.03205763],"study_design_scores_gemma":[0.000264076,0.0001652512,0.0007199672,0.0000634939,0.00004734509,0.000277562,0.00007737528,0.2409612,0.0004906952,0.7524781,0.004406571,0.00004835215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1604744,0.002539223,0.65334,0.02481479,0.0008866182,0.0008080669,0.001637567,0.001112474,0.1543869],"genre_scores_gemma":[0.9162971,0.001102654,0.02114708,0.0009315989,0.0009132248,0.0003994484,0.0001901324,0.0001483939,0.05887043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.023902,"threshold_uncertainty_score":0.07996017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00598192277848844,"score_gpt":0.1871175000172706,"score_spread":0.1811355772387822,"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."}}