{"id":"W4398603633","doi":"10.7910/dvn/itvlik/8hbbfd","title":"Replication.Rproj","year":2020,"lang":"eo","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":["insufficient_payload"],"category_scores_codex":[0.003338022,0.003325858,0.002431238,0.007019456,0.001851051,0.007328319,0.004669014,0.002512974,0.3383282],"category_scores_gemma":[0.0224427,0.001345258,0.002411753,0.01017377,0.001123583,0.004116907,0.004456162,0.002915778,0.3734101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495945,"about_ca_system_score_gemma":0.003394531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01889926,"about_ca_topic_score_gemma":0.02536873,"domain_scores_codex":[0.9974313,0.0006361265,0.0002423149,0.0008230385,0.0004715696,0.0003955872],"domain_scores_gemma":[0.9918678,0.001753396,0.0003773632,0.003683034,0.001482372,0.000835914],"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":[0.00004098216,0.00001066552,0.0001748146,0.0002938921,0.00002749128,0.000005788819,0.0000173443,0.00006992534,0.0000495644,0.0003506355,0.9978618,0.001097064],"study_design_scores_gemma":[0.0003884711,0.00002788131,0.000991963,0.0002635623,0.00003840113,0.00003161781,0.00007334162,0.0003252586,0.0003052176,0.002886173,0.9946316,0.00003651048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007911099,0.00008463597,0.00009679891,0.000214122,0.0001828466,0.00001672938,0.9952054,0.002323476,0.001796917],"genre_scores_gemma":[0.0006275325,0.00009679403,0.0003990167,0.0001580536,0.00006742339,0.000107662,0.9954789,0.001119056,0.001945549],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6616719,"threshold_uncertainty_score":0.9437946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03150207479995165,"score_gpt":0.2755648564202841,"score_spread":0.2440627816203325,"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."}}