{"id":"W6923332088","doi":"10.14288/1.0169301","title":"Alberni Advocate","year":2011,"lang":"en","type":"article","venue":"Open Collections","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Action (physics); Work (physics); Subject (documents)","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":["insufficient_payload"],"category_scores_codex":[0.0008030472,0.0005451722,0.0005050833,0.001359359,0.005655756,0.004956379,0.0009636126,0.002879099,0.5769209],"category_scores_gemma":[0.004063577,0.0003939816,0.0002645403,0.001277594,0.0008761603,0.001421717,0.002495104,0.003457338,0.2653939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003317432,"about_ca_system_score_gemma":0.01105317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1340096,"about_ca_topic_score_gemma":0.386405,"domain_scores_codex":[0.9988548,0.0000608806,0.00002831573,0.0002192913,0.0005570425,0.0002797483],"domain_scores_gemma":[0.9972894,0.0001547725,0.00005967821,0.0001691909,0.001149224,0.001177676],"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":[0.00002122144,0.00001070377,0.0003128363,0.00002644221,0.000001183126,0.0001197488,0.00005385719,0.00001086675,0.00005246104,0.002665372,0.9668067,0.02991866],"study_design_scores_gemma":[0.000002887771,0.000001683494,0.0002502117,0.00003292314,8.282404e-7,0.00005136418,0.00008063998,0.000007455642,0.00002087978,0.0001778648,0.999371,0.000002331582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007409538,0.00369751,0.0002410661,0.02559542,0.008846453,0.00006907041,0.001119386,0.000337747,0.9593523],"genre_scores_gemma":[0.001723943,0.0007172202,0.0000798775,0.001921216,0.0003706411,0.000008758336,0.0001611429,0.00005659271,0.9949605],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4230791,"threshold_uncertainty_score":0.603471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994855643676909,"score_gpt":0.240872024902219,"score_spread":0.2209234684654499,"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."}}