{"id":"W2509454674","doi":"10.5281/zenodo.61748","title":"whitehall2: First release","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas Mental Health University Institute; McGill University","funders":"","keywords":"Business","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":[0.001021093,0.002631737,0.001333372,0.001614172,0.001041679,0.002155404,0.003803363,0.001418206,0.2746671],"category_scores_gemma":[0.005626495,0.001670538,0.002148026,0.001660041,0.0004822982,0.002813811,0.001997419,0.002827041,0.2318113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009749552,"about_ca_system_score_gemma":0.002076326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009211437,"about_ca_topic_score_gemma":0.007320432,"domain_scores_codex":[0.9989349,0.0001582678,0.00005116121,0.000225845,0.0004186584,0.0002110312],"domain_scores_gemma":[0.9980145,0.000373474,0.0001077667,0.0004877478,0.0008207312,0.0001958812],"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":[0.0001855367,0.00004213736,0.0003974612,0.0002258387,0.00008025595,0.00005533197,0.00004067786,0.00260586,0.001384384,0.003926775,0.9745885,0.01646715],"study_design_scores_gemma":[0.0004834223,0.00007043791,0.001867341,0.0001942295,0.00009926822,0.0001928195,0.00007690249,0.04340757,0.01240648,0.02423747,0.916802,0.0001620513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"dataset","genre_scores_codex":[0.005382783,0.0007816587,0.1843317,0.001505747,0.001957743,0.0005191566,0.1856838,0.4950055,0.1248321],"genre_scores_gemma":[0.04084123,0.0005074792,0.1176204,0.001676655,0.0006029379,0.001206581,0.3025903,0.4203507,0.1146037],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2746671,"threshold_uncertainty_score":0.9188532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729744652363033,"score_gpt":0.2343769780371324,"score_spread":0.2070795315135021,"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."}}