{"id":"W4398613456","doi":"10.7910/dvn/gl5ccd/5igdeu","title":"iolinks_exec","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; Database; 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":[0.002622723,0.002780159,0.001367925,0.005002282,0.0008892044,0.003127419,0.00211597,0.0008731227,0.3350297],"category_scores_gemma":[0.01351883,0.001394157,0.001282506,0.004742919,0.0007423444,0.002662177,0.002949678,0.002029401,0.3297087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277106,"about_ca_system_score_gemma":0.002739002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009660805,"about_ca_topic_score_gemma":0.009921424,"domain_scores_codex":[0.9987638,0.0001907777,0.0001396213,0.0004233283,0.0003009064,0.000181589],"domain_scores_gemma":[0.9942965,0.001982856,0.0003444614,0.001839332,0.0009490048,0.0005879748],"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":[0.00007550243,0.00002220081,0.0003949587,0.0001699148,0.00001387321,0.000009290966,0.00002890135,0.0001250088,0.0001608924,0.0006675529,0.9944742,0.003857622],"study_design_scores_gemma":[0.0003927347,0.00003369969,0.002356415,0.0001717866,0.00003230928,0.00003760537,0.00006294436,0.001316578,0.002496822,0.005771359,0.9872837,0.00004397411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003228715,0.00003751289,0.001886636,0.0001573334,0.00009045519,0.00009021715,0.9513124,0.0390421,0.007060531],"genre_scores_gemma":[0.001787773,0.00007594326,0.003466133,0.0002126494,0.00005430557,0.000456408,0.9737927,0.01394298,0.006211036],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6649703,"threshold_uncertainty_score":0.9484994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.118766811557337,"score_gpt":0.3832193626359284,"score_spread":0.2644525510785913,"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."}}