{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002047064,0.005384698,0.002552671,0.005156677,0.001326116,0.005358333,0.005294961,0.003232904,0.2436999],"category_scores_gemma":[0.009318703,0.001506199,0.002496892,0.006548313,0.0008412532,0.00358219,0.004014747,0.002652219,0.3739188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594249,"about_ca_system_score_gemma":0.002236711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01644776,"about_ca_topic_score_gemma":0.02595783,"domain_scores_codex":[0.9982982,0.0003427337,0.0001341257,0.0006512903,0.0002963619,0.000277318],"domain_scores_gemma":[0.9966208,0.0007941533,0.0001945814,0.001316666,0.0006338372,0.000440009],"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":[0.00005599826,0.00001351476,0.000199287,0.0003602897,0.00003151176,0.000007064246,0.00001529059,0.0001215928,0.00007064486,0.000288092,0.9977317,0.001104801],"study_design_scores_gemma":[0.0003683841,0.00004384312,0.001337874,0.0002828616,0.0000439837,0.00004426003,0.0000647921,0.0007684032,0.0006633853,0.002368398,0.9939627,0.00005105742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008846513,0.0000873413,0.0001284334,0.0001051523,0.00007074666,0.00001191562,0.9942174,0.004094259,0.001196146],"genre_scores_gemma":[0.0004196572,0.00006232032,0.0003271482,0.00009050999,0.00001985344,0.00005930715,0.9971162,0.001020771,0.0008843083],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7563001,"threshold_uncertainty_score":0,"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."}}