{"id":"W4399000755","doi":"10.7910/dvn/qynzrr/vstxm7","title":"c2d867.tar","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"tar (computing); Computer science; Programming language","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006134908,0.000863434,0.0009086556,0.000569048,0.0001258765,0.0002253057,0.002531102,0.000735328,0.3804187],"category_scores_gemma":[0.0005029441,0.000883329,0.0002950123,0.0004199532,0.000187611,0.0006780667,0.001546615,0.001158014,0.9978144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004646695,"about_ca_system_score_gemma":0.0004029898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009991149,"about_ca_topic_score_gemma":0.0003467238,"domain_scores_codex":[0.9958249,0.000225489,0.0006026767,0.001303357,0.001115077,0.0009285285],"domain_scores_gemma":[0.9924037,0.000140176,0.000534883,0.006442447,0.0001385272,0.000340248],"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":[0.0001149851,0.0001536688,0.000005423307,0.0002571233,0.0002185188,0.0003296217,0.00001041168,0.00001069939,0.00005988939,0.00001510033,0.9987922,0.00003239391],"study_design_scores_gemma":[0.000981582,0.00006226059,0.00002181309,0.0001655189,0.0004714373,0.00005271646,0.00002780814,0.00001824941,0.00001983395,0.00001020765,0.9971638,0.001004791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008608584,9.299234e-7,0.000003682192,0.000001340677,0.002313172,0.0007371112,0.9956935,0.000216219,0.001025451],"genre_scores_gemma":[0.000001325211,0.0001543235,0.0002134867,0.0005316511,0.0007135895,0.00004076239,0.9957673,0.0002176971,0.00235988],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6173956,"threshold_uncertainty_score":0.9993618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695260022927218,"score_gpt":0.2653124967733854,"score_spread":0.2383598965441132,"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."}}