{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002730205,0.0001338102,0.0002175282,0.00007073997,0.001359107,0.000007190616,0.0001263675,0.0001145663,0.0003804778],"category_scores_gemma":[0.0001029244,0.0001083829,0.00006468975,0.0001221835,0.00005822368,0.000197163,0.00005665902,0.002949307,0.0006124575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287692,"about_ca_system_score_gemma":0.003780144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000100458,"about_ca_topic_score_gemma":0.000137079,"domain_scores_codex":[0.9936355,0.0002050711,0.0004316327,0.00009744594,0.0001983758,0.005431984],"domain_scores_gemma":[0.9991701,0.0001494351,0.0001803911,0.000109423,0.00009123787,0.0002993961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002029793,0.0001223829,0.7135655,0.0001237678,0.0004025514,0.000005597056,0.02692339,0.000005417225,0.0002490952,0.1714891,0.002753166,0.08415708],"study_design_scores_gemma":[0.002749706,0.0002998745,0.03940177,0.0001622995,0.00005637611,0.0003516435,0.04220426,0.00000639201,0.00001438189,0.02416092,0.8901619,0.0004304516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9240146,0.006184469,0.001643128,0.007054207,0.002863861,0.0004552428,0.000006053884,0.00009946978,0.05767896],"genre_scores_gemma":[0.9889991,0.00205867,0.00004345986,0.00284107,0.001708786,0.00002137098,0.000001382803,0.00001992912,0.004306261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8874087,"threshold_uncertainty_score":0.999941,"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."}}