{"id":"W4398891995","doi":"10.7910/dvn/vvxwzo/ss1ty6","title":"p09.arff","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Memorial University of Newfoundland","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006003779,0.0008356727,0.0008811497,0.0005611457,0.0001206136,0.000242363,0.002480633,0.0007269307,0.3773906],"category_scores_gemma":[0.0005160261,0.0008531659,0.0002833989,0.0004223862,0.0001874795,0.0006633073,0.001578932,0.001128589,0.9977677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003451525,"about_ca_system_score_gemma":0.0004029977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007105559,"about_ca_topic_score_gemma":0.0002628472,"domain_scores_codex":[0.9959304,0.0002193023,0.0005856864,0.001270205,0.001089096,0.0009053076],"domain_scores_gemma":[0.9924867,0.0001394212,0.0005346235,0.006375541,0.0001337255,0.0003300507],"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":[0.0001058495,0.0001518787,0.000005634156,0.0002469829,0.0002047479,0.000306162,0.000007526657,0.000008615127,0.00005947895,0.0000169385,0.9988443,0.00004191125],"study_design_scores_gemma":[0.0009387653,0.00005853432,0.00002573686,0.0001629627,0.0004446698,0.00005412262,0.00002698064,0.00001618578,0.00001914426,0.000009726379,0.9972714,0.0009717948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005851385,8.405917e-7,0.000003886366,0.000001325703,0.002357242,0.0007171675,0.9953446,0.0002105063,0.001358576],"genre_scores_gemma":[0.000001194826,0.0001489167,0.0001767702,0.0005010844,0.0007004238,0.00004222364,0.995199,0.0002116216,0.003018822],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6203771,"threshold_uncertainty_score":0.9993919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02770264040336102,"score_gpt":0.2684650300352433,"score_spread":0.2407623896318823,"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."}}