{"id":"W6893773845","doi":"10.5281/zenodo.4382719","title":"Additional file 1_searches","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Key (lock); Data file; Set (abstract data type); Focus (optics); Search engine indexing; Table (database)","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":[0.003912413,0.002750946,0.005230164,0.01778833,0.001432447,0.004025678,0.002328334,0.002232563,0.7909608],"category_scores_gemma":[0.0409051,0.001394366,0.003350537,0.02242306,0.0006799728,0.002982611,0.002636024,0.001510879,0.1519727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002516912,"about_ca_system_score_gemma":0.005986368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01663486,"about_ca_topic_score_gemma":0.03243914,"domain_scores_codex":[0.9967856,0.0008746031,0.001021164,0.000661021,0.000317659,0.00033992],"domain_scores_gemma":[0.9704475,0.02347693,0.002269834,0.001006953,0.002095921,0.000702936],"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":[0.001826665,0.0001279427,0.001894587,0.1057286,0.001058032,0.0001760681,0.0002554501,0.0006197024,0.0003249107,0.00155743,0.8631023,0.0233283],"study_design_scores_gemma":[0.01377524,0.0004212563,0.01236042,0.03616912,0.003588041,0.0007616241,0.0008495745,0.0009005701,0.0009738079,0.009283593,0.9206066,0.0003101814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002806642,0.0008195205,0.0003196436,0.0001472325,0.00004008631,0.0006740822,0.9936866,0.0006455133,0.003386708],"genre_scores_gemma":[0.01377249,0.005093547,0.01294189,0.002435891,0.0002566959,0.01999071,0.917716,0.004514118,0.02327874],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7909608,"threshold_uncertainty_score":0.298169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.21929450527971,"score_gpt":0.3228448636324072,"score_spread":0.1035503583526973,"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."}}