{"id":"W7108212262","doi":"10.25504/fairsharing.f711e5","title":"FAIRsharing record for: CanPath Portal","year":2025,"lang":"","type":"dataset","venue":"FAIRsharing.org","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Epidemiology; Public health; Data collection; Health data","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003470005,0.001205346,0.001407375,0.005994104,0.002173288,0.005676063,0.003958444,0.00254888,0.5737131],"category_scores_gemma":[0.02725614,0.001188877,0.001209936,0.01335425,0.0007679075,0.004014463,0.004677982,0.002183212,0.3210378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005568507,"about_ca_system_score_gemma":0.01250999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1848263,"about_ca_topic_score_gemma":0.2446699,"domain_scores_codex":[0.9977412,0.0003210352,0.0002916598,0.0003988008,0.0007276002,0.0005197604],"domain_scores_gemma":[0.9845899,0.003651363,0.001055786,0.003740627,0.004712495,0.002249809],"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":[0.00001480718,0.000002600584,0.00009674722,0.0000832995,0.000002796527,0.00000287337,0.000006283097,0.00001502816,0.00000447198,0.0002439663,0.9987918,0.0007354114],"study_design_scores_gemma":[0.0001861136,0.000006032179,0.001555822,0.0002680897,0.000008364258,0.00001440804,0.0000576321,0.00006626888,0.00005237078,0.001377104,0.9963825,0.0000253502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002512366,0.00001849189,0.00002835781,0.0002251777,0.0000423702,0.00001789986,0.996545,0.0002742324,0.00282336],"genre_scores_gemma":[0.0006199855,0.00009859834,0.0003161017,0.0004335312,0.00005306098,0.0002250023,0.9892443,0.0004682601,0.008541215],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5737131,"threshold_uncertainty_score":0.6080465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04065157103187518,"score_gpt":0.3162441540130037,"score_spread":0.2755925829811285,"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."}}