{"id":"W6907603847","doi":"10.23640/07243.5811384","title":"ORCID-CA: The ORCID Canada Consortium","year":2018,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"MEDLINE; Drug industry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003190851,0.0008994593,0.0006160543,0.001960712,0.008382537,0.01091013,0.002276192,0.002620535,0.4066256],"category_scores_gemma":[0.008015424,0.0003482902,0.0004678477,0.002255976,0.002068914,0.004760122,0.005039376,0.00366299,0.1454947],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01784949,"about_ca_system_score_gemma":0.07269557,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.585347,"about_ca_topic_score_gemma":0.6898198,"domain_scores_codex":[0.9966863,0.0002834676,0.00005999672,0.0002865408,0.001865615,0.0008180845],"domain_scores_gemma":[0.9877814,0.0005327656,0.0001818917,0.0005228553,0.006836307,0.00414485],"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":[0.00001345556,0.000008473086,0.00005151142,0.0000243751,0.00000102021,0.00001511353,0.00005489945,0.00001379515,0.00002563068,0.01229349,0.9772897,0.01020863],"study_design_scores_gemma":[0.00000513461,0.000001385295,0.0001177072,0.00004220114,0.000001105472,0.00001003413,0.0001889795,0.00003142793,0.00003697247,0.00122727,0.998333,0.000004719522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005320935,0.001861108,0.001217155,0.02776969,0.003837165,0.0001182498,0.005599505,0.001280668,0.9577844],"genre_scores_gemma":[0.009235178,0.001538497,0.001421082,0.004119521,0.0004704796,0.0001050259,0.004723128,0.00144434,0.9769427],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9977238,"threshold_uncertainty_score":0.8463765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03022380991346433,"score_gpt":0.2903559792804795,"score_spread":0.2601321693670152,"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."}}