{"id":"W4398455774","doi":"10.7910/dvn/ktwyz6/xiwy3f","title":"simtax_v2-checkpoint.py","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science","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":[0.00141071,0.00256277,0.001650727,0.003258165,0.0009328644,0.003422182,0.003958008,0.002117921,0.2141103],"category_scores_gemma":[0.007582565,0.000986604,0.001466937,0.005840069,0.0006515933,0.00195941,0.002642824,0.001933629,0.211253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453208,"about_ca_system_score_gemma":0.002316813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0134646,"about_ca_topic_score_gemma":0.01901389,"domain_scores_codex":[0.9990116,0.0001738319,0.0001054945,0.0003048579,0.0001929187,0.0002112246],"domain_scores_gemma":[0.99768,0.0006257224,0.0001694953,0.0007966932,0.0004323523,0.0002958061],"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":[0.00006033212,0.00001255465,0.00035146,0.0004273839,0.00002163724,0.000009754398,0.00001821955,0.0001583873,0.00007609251,0.0006093297,0.9971221,0.001132699],"study_design_scores_gemma":[0.0004402596,0.00002045483,0.001638551,0.0002759015,0.00002821119,0.00003641769,0.00006977651,0.000584697,0.0006754395,0.002974085,0.9932227,0.00003360152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007941998,0.00003192655,0.00007812228,0.00006005601,0.00002544564,0.00001030492,0.9973534,0.001385377,0.0009759341],"genre_scores_gemma":[0.0006519307,0.0000603525,0.0003913399,0.00008898322,0.00001062327,0.0001067395,0.9973077,0.0005851155,0.0007972572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7858897,"threshold_uncertainty_score":0.7162704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1131411575111838,"score_gpt":0.3504952858373784,"score_spread":0.2373541283261946,"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."}}