{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009493547,0.0002049962,0.0002286985,0.0001866035,0.00005462818,0.0001415578,0.002407176,0.0002463183,0.001079401],"category_scores_gemma":[0.0001329084,0.0002061129,0.00006168562,0.000282584,0.00003317677,0.0006291146,0.00101356,0.0004458981,0.3830419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003546175,"about_ca_system_score_gemma":0.00006476767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002466443,"about_ca_topic_score_gemma":0.000002008109,"domain_scores_codex":[0.9989553,0.00001481125,0.0002574587,0.0003096435,0.0002307414,0.0002320086],"domain_scores_gemma":[0.9980847,0.00002526468,0.0001197239,0.0016303,0.00003321442,0.0001067459],"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":[9.27205e-7,0.000007984259,5.404058e-8,0.00005025394,0.00001604947,0.0000336439,0.0000132601,0.00001805265,0.000003421767,0.001313024,0.9977593,0.000783965],"study_design_scores_gemma":[0.0001249148,0.00003821719,0.000001818636,0.00001911781,0.00000915415,0.00002182121,0.000003300639,0.002626078,0.00004935966,0.00004198676,0.9968408,0.0002233692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.463577e-7,5.511138e-7,0.06510207,0.0000431399,0.0006206796,0.00007897316,0.9334774,0.0004790297,0.0001980172],"genre_scores_gemma":[0.000001806511,0.0001606954,0.009332655,0.0009909644,0.00009238328,0.00001302119,0.9893352,0.000006329641,0.00006687634],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3819625,"threshold_uncertainty_score":0.9998338,"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."}}