{"id":"W4398586475","doi":"10.7910/dvn/8ys0bb/qcjvfv","title":"Replication_Data.tab","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":"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002091932,0.002960026,0.002036595,0.005135726,0.001186415,0.004501584,0.004106139,0.002979109,0.3747216],"category_scores_gemma":[0.01318378,0.001401859,0.001866945,0.007795426,0.0007818987,0.003330168,0.002995365,0.002085035,0.3472578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842203,"about_ca_system_score_gemma":0.002758221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0189523,"about_ca_topic_score_gemma":0.02327344,"domain_scores_codex":[0.9984857,0.0003428723,0.0001532765,0.0005190234,0.0002698308,0.000229269],"domain_scores_gemma":[0.9941334,0.001645447,0.0003544588,0.002073877,0.001272997,0.0005198062],"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":[0.00003990603,0.00001032642,0.0002243962,0.0004830153,0.00002837823,0.000007014151,0.00001508777,0.000104503,0.00006622906,0.000347696,0.9975688,0.001104654],"study_design_scores_gemma":[0.000382852,0.00002555037,0.001232235,0.0002749414,0.0000339221,0.00003219126,0.00005567616,0.0002938712,0.0004389518,0.001789241,0.9954035,0.00003721566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004557057,0.0000508265,0.00005483022,0.0000891867,0.00004523,0.000009673958,0.9978098,0.0009922424,0.0009026098],"genre_scores_gemma":[0.0005412175,0.00007107135,0.0002575191,0.0001308822,0.0000254512,0.00008175169,0.9970073,0.0006278473,0.00125687],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3747216,"threshold_uncertainty_score":0.8918837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02840064021268636,"score_gpt":0.2705374523609086,"score_spread":0.2421368121482223,"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."}}