{"id":"W4398624047","doi":"10.7910/dvn/6me9uj/wyeiex","title":"Sept2015FirstAuthorLocation.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Replication (statistics); Computer science; Biology; Virology","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":[],"consensus_categories":[],"category_scores_codex":[0.001109643,0.001897636,0.001280787,0.00503011,0.0008970333,0.004426979,0.001986891,0.001739956,0.1978136],"category_scores_gemma":[0.007391754,0.0007769479,0.001015688,0.007564762,0.0004662773,0.001980502,0.002291821,0.001425802,0.2783177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849619,"about_ca_system_score_gemma":0.002178837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999416,"about_ca_topic_score_gemma":0.02773638,"domain_scores_codex":[0.9989675,0.000133414,0.0001474149,0.0002804105,0.0002441398,0.0002270431],"domain_scores_gemma":[0.9969565,0.0006158067,0.0002268397,0.0008704332,0.0009064293,0.0004239354],"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":[0.00003133052,0.000006951686,0.0002910768,0.0001566009,0.000005988649,0.000008098037,0.00001057085,0.0000636734,0.00003837569,0.0003210428,0.9976792,0.001387249],"study_design_scores_gemma":[0.0001425141,0.000009745246,0.001429183,0.0001639307,0.000008618425,0.00002659327,0.00005216257,0.0001833956,0.0002267916,0.0008954249,0.996848,0.00001359857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001037841,0.00005949173,0.00004270457,0.0001245596,0.00006714413,0.000008713771,0.9969969,0.0005095607,0.002087255],"genre_scores_gemma":[0.0004766402,0.00007082077,0.0001570308,0.00007630695,0.00002291504,0.00003514654,0.9966742,0.0001685647,0.002318298],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1978136,"threshold_uncertainty_score":0.6617523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07214277856224326,"score_gpt":0.325661175000604,"score_spread":0.2535183964383607,"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."}}