{"id":"W4244561769","doi":"10.2139/ssrn.2022563","title":"Uncovering Collateral Constraints","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Collateral; Business; Economics; Finance","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":[0.003606779,0.0005128302,0.0009651819,0.00357361,0.0029694,0.005109042,0.001416754,0.001233115,0.03065147],"category_scores_gemma":[0.04958574,0.000688319,0.0004235356,0.005736626,0.00329294,0.009193194,0.004725713,0.002917208,0.001414611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708449,"about_ca_system_score_gemma":0.003538029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006794095,"about_ca_topic_score_gemma":0.008707889,"domain_scores_codex":[0.9974171,0.0009394099,0.0001970963,0.0005460546,0.0005524805,0.0003477418],"domain_scores_gemma":[0.9680885,0.01717129,0.005300398,0.006125381,0.002226013,0.001088275],"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":[0.0003581261,0.00022368,0.1174316,0.0003640198,0.0001307737,0.001504804,0.009910293,0.004618715,0.0009105265,0.7570819,0.01903097,0.08843448],"study_design_scores_gemma":[0.00007242113,0.00009791815,0.05449668,0.0005380493,0.0001901447,0.0007832936,0.01223346,0.03795512,0.001410169,0.8322445,0.05989562,0.00008270137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7206157,0.001775877,0.07086678,0.009057982,0.0002201171,0.0002986091,0.006519981,0.0005011441,0.1901437],"genre_scores_gemma":[0.984539,0.0003290169,0.008032974,0.0001445762,0.00006186279,0.0001026476,0.001166747,0.00008235148,0.005540855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03065147,"threshold_uncertainty_score":0.1025394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03878322580255721,"score_gpt":0.3961350555811218,"score_spread":0.3573518297785646,"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."}}