{"id":"W4398424727","doi":"10.7910/dvn/hbikkv/sjxubj","title":"RunD2.para","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003458693,0.0008198022,0.0008666284,0.0003342745,0.0001627461,0.0002648959,0.002310131,0.0005490552,0.2133894],"category_scores_gemma":[0.0007830741,0.0008738313,0.0002772693,0.000573097,0.0002279489,0.0005398251,0.001675309,0.001244087,0.997225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002659422,"about_ca_system_score_gemma":0.0003892861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005848684,"about_ca_topic_score_gemma":0.0002352298,"domain_scores_codex":[0.9960823,0.0002256691,0.0006116912,0.001298823,0.001014508,0.0007669888],"domain_scores_gemma":[0.9950596,0.0001077547,0.0004755823,0.003667301,0.00009466277,0.0005950641],"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":[0.0001553567,0.0001185765,0.000001339801,0.000202464,0.0002221143,0.001082595,0.0000138095,0.000002867563,0.0001158596,0.00002346206,0.9980247,0.00003687654],"study_design_scores_gemma":[0.000785317,0.00006642313,0.00001562576,0.000101215,0.0005018325,0.00004825488,0.00002905047,0.00001801576,0.00003224879,0.00001409355,0.9974768,0.0009111168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001369795,5.522776e-7,0.000008747869,0.000005647152,0.0008970922,0.000519458,0.9976158,0.0004019446,0.000549368],"genre_scores_gemma":[0.000001077956,0.0001609761,0.0004185657,0.00119324,0.001057137,0.0000503584,0.9965864,0.0001962601,0.000335969],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7838356,"threshold_uncertainty_score":0.9993712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03576296250029122,"score_gpt":0.2719956157631573,"score_spread":0.2362326532628661,"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."}}