{"id":"W2342681326","doi":"10.2139/ssrn.3058472","title":"Funding Long Shots","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Securitization; Business; Stochastic game; Finance; Actuarial science; Economics; Microeconomics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007687822,0.001001347,0.001208473,0.004354118,0.003317899,0.011518,0.002608168,0.01207732,0.420038],"category_scores_gemma":[0.03444278,0.0005324381,0.001220819,0.001767708,0.001596162,0.004668234,0.008819791,0.007690019,0.2452088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004988045,"about_ca_system_score_gemma":0.01671391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003026297,"about_ca_topic_score_gemma":0.007407686,"domain_scores_codex":[0.9882075,0.001299754,0.0004678508,0.001095423,0.006327468,0.002602047],"domain_scores_gemma":[0.9648672,0.002367935,0.001242847,0.003115861,0.01248935,0.01591677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001095616,0.00002667388,0.000205014,0.00005987633,0.00001296083,0.00008572178,0.00004749245,0.00002163368,0.000237221,0.01074639,0.9572502,0.03119714],"study_design_scores_gemma":[0.0000414859,0.00002424751,0.000403742,0.00008268738,0.000006324538,0.00005975821,0.00007226435,0.00009971672,0.0000947101,0.003693626,0.9954135,0.000008080418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.002905148,0.006877416,0.004142171,0.2097903,0.1670146,0.0006015715,0.004586645,0.00200699,0.6020752],"genre_scores_gemma":[0.01157975,0.001349196,0.001240214,0.02606776,0.01949825,0.0002762488,0.002109287,0.0005376661,0.9373417],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.420038,"threshold_uncertainty_score":0.8272455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288327390987102,"score_gpt":0.2557959946591866,"score_spread":0.2329127207493155,"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."}}