{"id":"W4398369581","doi":"10.7910/dvn/hbikkv/onmszd","title":"RunC.para","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Engineering and Information Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","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":[0.001386426,0.004037374,0.002549212,0.004640048,0.001337651,0.005301045,0.004787925,0.002591167,0.240459],"category_scores_gemma":[0.0077685,0.0009640428,0.00185387,0.005954351,0.0006475192,0.003118933,0.003610112,0.00222794,0.4389679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295247,"about_ca_system_score_gemma":0.001959353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01141988,"about_ca_topic_score_gemma":0.01767582,"domain_scores_codex":[0.9986602,0.0002446191,0.0001014493,0.0005378527,0.000217448,0.0002383614],"domain_scores_gemma":[0.9969505,0.000558553,0.0001938743,0.001206344,0.0006131367,0.000477637],"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":[0.00005426674,0.00001091792,0.0001946317,0.0002623939,0.0000170053,0.000005292209,0.000007143504,0.00007792316,0.00003870713,0.0002548259,0.9978251,0.001251709],"study_design_scores_gemma":[0.0003303385,0.00003775916,0.001264596,0.0002977753,0.00002839695,0.00004128887,0.00006077081,0.0006771514,0.0003363629,0.002438308,0.9944554,0.00003188677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008590547,0.00008945585,0.00008942992,0.00009927408,0.00008300492,0.00001340075,0.9955313,0.002310083,0.001698152],"genre_scores_gemma":[0.0003492741,0.00005496219,0.0002028216,0.0000732543,0.00002524188,0.00004787185,0.9977999,0.0004123112,0.001034234],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.759541,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376389500734959,"score_gpt":0.2167099489322596,"score_spread":0.2029460539249101,"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."}}