{"id":"W7098728467","doi":"","title":"Saint Mary’s University DO BANKS ALWAYS MAKE INFORMED LOANS?--- A CANADIAN STUDY *","year":2005,"lang":"en","type":"article","venue":"","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loan; Information asymmetry; Investment banking; Sample (material); Investment (military); Participation loan; Financial market; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00121976,0.0002200526,0.0003168604,0.001167955,0.006327399,0.002323317,0.0007742388,0.000809943,0.01692195],"category_scores_gemma":[0.007863013,0.00020301,0.0002489547,0.003208846,0.001459814,0.00102534,0.0005907647,0.001228917,0.0009780844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03280138,"about_ca_system_score_gemma":0.03899361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9864993,"about_ca_topic_score_gemma":0.9933645,"domain_scores_codex":[0.9989344,0.000139153,0.0000328364,0.000131256,0.0003576564,0.0004046842],"domain_scores_gemma":[0.99326,0.001641937,0.000921078,0.0002125696,0.002412474,0.00155186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000365961,0.0003277232,0.8119042,0.0002287849,0.00008666592,0.0007795464,0.02215698,0.0005096389,0.0004367335,0.02263428,0.08176574,0.05880371],"study_design_scores_gemma":[0.0000366229,0.00006931009,0.8835517,0.0002836009,0.00006315939,0.0002514717,0.04169203,0.001342641,0.0002670571,0.002292809,0.07007992,0.00006972843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8818052,0.003556906,0.0002833279,0.0336006,0.0001059784,0.00008898652,0.00410971,0.00001587786,0.07643335],"genre_scores_gemma":[0.9795817,0.002695238,0.0001941479,0.001734955,0.00003833873,0.00001603087,0.0005237255,0.00001011026,0.01520583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03280138,"threshold_uncertainty_score":0.2379918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03437959865355475,"score_gpt":0.2725727230164409,"score_spread":0.2381931243628862,"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."}}