{"id":"W6963952118","doi":"10.23640/07243.5811384.v1","title":"ORCID-CA: The ORCID Canada Consortium","year":2018,"lang":"en","type":"other","venue":"Figshare","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002616599,0.0007619758,0.0005603029,0.00143506,0.00457215,0.006570664,0.002528615,0.001764263,0.4420285],"category_scores_gemma":[0.00511242,0.0002996975,0.0004378055,0.002281759,0.00110278,0.002540631,0.003536857,0.002079586,0.1279762],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01249073,"about_ca_system_score_gemma":0.06907784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6705525,"about_ca_topic_score_gemma":0.7280452,"domain_scores_codex":[0.9976535,0.0001538021,0.00004703888,0.0002107899,0.001345324,0.0005894989],"domain_scores_gemma":[0.9904982,0.0002827571,0.0001622083,0.0003754134,0.005474669,0.003206707],"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":[0.00002218326,0.000008791881,0.0001021477,0.00003456216,0.000001329953,0.00001551678,0.00002745458,0.00002381458,0.00004606058,0.00550676,0.9823673,0.01184416],"study_design_scores_gemma":[0.00000544578,0.000001686516,0.0002075318,0.00003312232,0.000001014458,0.000007517627,0.00007756311,0.00003057483,0.00003332358,0.0004085886,0.9991905,0.000003197772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008323958,0.002314321,0.001340453,0.02135145,0.005059796,0.0002260967,0.02733395,0.001649237,0.9398924],"genre_scores_gemma":[0.009946611,0.001604464,0.002000982,0.003853417,0.0003922527,0.0001163877,0.01718994,0.001631322,0.9632647],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9934294,"threshold_uncertainty_score":0.7958786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547728200218121,"score_gpt":0.1877432511747381,"score_spread":0.1622659691725569,"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."}}