{"id":"W4398749752","doi":"10.7910/dvn/gl5ccd/p3ylfa","title":"main_iolinks.cpp","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; Université du Québec à Montréal","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":[0.003451304,0.003856741,0.002935041,0.006528692,0.001508893,0.005838078,0.005329862,0.002238148,0.5256065],"category_scores_gemma":[0.01649637,0.002287386,0.002620916,0.01029475,0.001128259,0.004942085,0.006644879,0.003047292,0.6441578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002066811,"about_ca_system_score_gemma":0.00285728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01044534,"about_ca_topic_score_gemma":0.01546933,"domain_scores_codex":[0.9975004,0.0003875282,0.0003147354,0.0008627628,0.0004504508,0.0004841701],"domain_scores_gemma":[0.9924858,0.002470742,0.0005296636,0.00224693,0.001399407,0.0008674393],"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":[0.00004643393,0.00001085144,0.0002213083,0.0006262917,0.00001656712,0.000006380049,0.00003143115,0.00005633674,0.00009105779,0.0003744672,0.9966154,0.001903388],"study_design_scores_gemma":[0.0002041998,0.00001411006,0.001202838,0.0003610879,0.00002259303,0.00002016402,0.00005276863,0.00014673,0.000619902,0.002493344,0.9948221,0.0000400558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003679682,0.00002396302,0.0001947482,0.00005535063,0.00002694905,0.00003457365,0.9938651,0.004070426,0.001692152],"genre_scores_gemma":[0.0003059255,0.00005194515,0.0008873358,0.0001479159,0.00002015069,0.0004260126,0.9919966,0.004412341,0.001751719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4743935,"threshold_uncertainty_score":0.6766648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1174304390843216,"score_gpt":0.3810441989400291,"score_spread":0.2636137598557075,"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."}}