{"id":"W3211003029","doi":"10.5281/zenodo.1435254","title":"CSIB v1 source code","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Code (set theory); Source code; Programming language; Set (abstract data type)","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":[0.002605312,0.002584422,0.00238601,0.005582244,0.001631024,0.004899058,0.006466207,0.002410906,0.4543854],"category_scores_gemma":[0.01598476,0.002236073,0.002193834,0.00665113,0.0007985241,0.003969592,0.004501054,0.004455041,0.5408168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001946878,"about_ca_system_score_gemma":0.00352774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01709721,"about_ca_topic_score_gemma":0.01062119,"domain_scores_codex":[0.9978988,0.0002923286,0.0002281291,0.0003701272,0.0009353373,0.0002751374],"domain_scores_gemma":[0.9937614,0.00149129,0.0003273748,0.001380604,0.002544407,0.0004950642],"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":[0.0001056422,0.00002199442,0.0002723292,0.0005377631,0.00003157136,0.00003899111,0.00004027235,0.0009818488,0.00050528,0.002222786,0.9857216,0.009519778],"study_design_scores_gemma":[0.0001360958,0.00001583938,0.0006052537,0.0002389235,0.00002926946,0.00009643141,0.00003950557,0.002105023,0.001402795,0.007604695,0.9876513,0.0000747198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0008745408,0.0006443726,0.02447298,0.0008326928,0.0006612028,0.0003366725,0.7116137,0.2240666,0.03649732],"genre_scores_gemma":[0.003781957,0.0005383705,0.02694617,0.0008483378,0.0001540811,0.0009389876,0.7444241,0.1996638,0.02270409],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.4543854,"threshold_uncertainty_score":0.7782531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06919419966918844,"score_gpt":0.2209756453778858,"score_spread":0.1517814457086974,"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."}}