{"id":"W6923619289","doi":"10.1371/journal.pone.0308275.t002","title":"HCPs and other sources ever consulted by Canadian respondents with RCC/UCC.","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Legislation; MEDLINE; Work (physics); Data collection","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":[0.001207795,0.001486225,0.001525155,0.006906984,0.002268543,0.00351691,0.003122444,0.001902498,0.1670276],"category_scores_gemma":[0.01714419,0.0009120518,0.001811782,0.02184284,0.0004542995,0.001536926,0.001982108,0.002208869,0.03819442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01213198,"about_ca_system_score_gemma":0.02970012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9465909,"about_ca_topic_score_gemma":0.9649907,"domain_scores_codex":[0.9978864,0.0001402824,0.0002605035,0.0003742889,0.0006550301,0.0006835951],"domain_scores_gemma":[0.9898108,0.001843047,0.001037388,0.0006339726,0.005588872,0.001085998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003158704,0.000004850871,0.001329538,0.0006119233,0.00002794299,0.00001235133,0.00002983286,0.00008777317,0.000008356039,0.0005179351,0.9958144,0.001523499],"study_design_scores_gemma":[0.000354609,0.00001768065,0.03120081,0.003150266,0.0001461473,0.00007742584,0.0006094545,0.000430594,0.0001598066,0.001054903,0.9627315,0.0000668529],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008100711,0.00008664015,0.00001655963,0.00008764564,0.00001876389,0.000009770517,0.9983546,0.00002898403,0.001316049],"genre_scores_gemma":[0.002690764,0.0004310173,0.0003521412,0.0003100046,0.00003146581,0.0001750325,0.9887369,0.0000890828,0.00718352],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1670276,"threshold_uncertainty_score":0.558763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02763105233711606,"score_gpt":0.2720175836924418,"score_spread":0.2443865313553257,"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."}}