{"id":"W6960832135","doi":"10.1371/journal.pone.0289645.t001","title":"Patient enrolment by region (province/territories) in Canada.","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Work (physics); Government (linguistics); Data collection; Set (abstract data type)","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":[],"consensus_categories":[],"category_scores_codex":[0.0006944037,0.0009571438,0.00143565,0.002980883,0.001648979,0.00202994,0.002541469,0.001343736,0.06085119],"category_scores_gemma":[0.008054087,0.000592508,0.001297157,0.01169276,0.0004315204,0.0006955724,0.001254176,0.001483529,0.01538439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01198408,"about_ca_system_score_gemma":0.03076183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9618326,"about_ca_topic_score_gemma":0.96949,"domain_scores_codex":[0.9988407,0.00006725342,0.0001334393,0.0002981925,0.0002788284,0.0003815278],"domain_scores_gemma":[0.9955407,0.0006756649,0.0004085182,0.0003140802,0.002401054,0.0006599475],"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":[0.000150873,0.00001532576,0.00882135,0.0006573789,0.00008843747,0.00003769994,0.00005250026,0.0002661153,0.00003103308,0.0004973785,0.9861202,0.003261687],"study_design_scores_gemma":[0.001124526,0.00004647027,0.1791361,0.00388826,0.0003940905,0.0002485991,0.0007050092,0.001203166,0.0003854522,0.001470778,0.8112688,0.0001287559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004205872,0.0001208953,0.00001750072,0.00008168086,0.000009632617,0.00001389504,0.998509,0.00002560688,0.0008011492],"genre_scores_gemma":[0.008071411,0.000492428,0.0002356734,0.0003092181,0.00001888492,0.000188778,0.987307,0.00005385651,0.003322798],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06085119,"threshold_uncertainty_score":0.2035675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02410463744021432,"score_gpt":0.1958486581018794,"score_spread":0.1717440206616651,"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."}}