{"id":"W233088121","doi":"","title":"The Game Analyses of the Effect of Bank Claim, Penalty and Compensation to High Educational Aid-Loan/ANALYSES DE JEU SUR LES EFFETS DE LA RECLAMATION, LA PENALITE ET LA COMPENSATION DE LA BANQUE AU PRET D'ETUDES SUPERIEUR","year":2007,"lang":"fr","type":"article","venue":"Canadian social science","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loan; Compensation (psychology); Government (linguistics); Lagging; Non-performing loan; Participation loan; Actuarial science; Student loan; Business; Economics; Finance; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00233346,0.0006856694,0.001099196,0.0006050919,0.0005450925,0.001305626,0.0007875313,0.000921202,0.008237348],"category_scores_gemma":[0.009053155,0.0002900903,0.001132855,0.0002855141,0.0009879223,0.001312407,0.0006811117,0.001596463,0.0002273748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002491643,"about_ca_system_score_gemma":0.002118197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01188005,"about_ca_topic_score_gemma":0.00907903,"domain_scores_codex":[0.9983715,0.0009404415,0.00005942339,0.0001299494,0.000175352,0.0003233746],"domain_scores_gemma":[0.9876943,0.01057224,0.0006488674,0.0001830681,0.0004844513,0.0004169712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003381505,0.0021944,0.02165558,0.0008787098,0.0008654129,0.001056157,0.001338188,0.6601846,0.01205224,0.2506791,0.004899953,0.04081421],"study_design_scores_gemma":[0.0002462917,0.001587777,0.01740268,0.00004731702,0.0003931413,0.0001557793,0.0007572334,0.9232368,0.002845844,0.05139562,0.001847683,0.00008385156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8876392,0.0007777079,0.07684953,0.00206072,0.000127552,0.0004360034,0.0004183801,0.00008065006,0.03161035],"genre_scores_gemma":[0.9924056,0.0002052489,0.002385288,0.00009798748,0.00001064096,0.00009671281,0.00003357589,0.000004906065,0.004760047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01188005,"threshold_uncertainty_score":0.02755672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03024014018687389,"score_gpt":0.3642910317130301,"score_spread":0.3340508915261562,"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."}}