{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009003803,0.0001747675,0.00023098,0.0002341184,0.0006433623,0.0002484213,0.0003599869,0.000187752,0.00006931691],"category_scores_gemma":[0.002266751,0.0001474224,0.00008524144,0.001014576,0.001338196,0.0003075234,0.00003611368,0.0002298618,0.000001557695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009902924,"about_ca_system_score_gemma":0.002477483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03759835,"about_ca_topic_score_gemma":0.0421588,"domain_scores_codex":[0.9961215,0.002346719,0.0004103275,0.0002233341,0.0004927214,0.0004054323],"domain_scores_gemma":[0.9947824,0.004162028,0.0001832593,0.0001760289,0.0004005872,0.0002956773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00004393187,0.00004773882,0.2705077,0.0002657594,0.0001169941,0.000002466077,0.02360707,0.4595122,0.03322287,0.2064104,0.0006973743,0.005565499],"study_design_scores_gemma":[0.0004871577,0.00004005536,0.9275928,0.0001607226,0.0001418935,0.00001667036,0.0007699508,0.05361791,0.01396437,0.001506538,0.001486688,0.0002152452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727101,0.0002889585,0.0160388,0.002786827,0.000138129,0.0003699783,0.00006189212,0.00001568174,0.007589595],"genre_scores_gemma":[0.996988,0.00006493431,0.002452741,0.0001854181,0.00009062683,0.00001805033,0.00002140111,0.00001737487,0.0001614795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6570851,"threshold_uncertainty_score":0.9753193,"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."}}