{"id":"W6960463219","doi":"10.14288/1.0169476","title":"Alberni Advocate","year":2011,"lang":"en","type":"article","venue":"Open Collections","topic":"Genetic diversity and population structure","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":[],"category_scores_codex":[0.0007195923,0.0005539791,0.000466861,0.001201821,0.00511201,0.004421131,0.000934139,0.002652921,0.5815327],"category_scores_gemma":[0.003552584,0.0003675451,0.0002243417,0.001255709,0.0008222782,0.001328397,0.002254035,0.002896683,0.2626064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002959387,"about_ca_system_score_gemma":0.009247034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1497909,"about_ca_topic_score_gemma":0.387283,"domain_scores_codex":[0.999035,0.0000566565,0.00002294458,0.0001866122,0.0004644275,0.0002342882],"domain_scores_gemma":[0.9979789,0.0001267995,0.00004981157,0.0001415859,0.0008810873,0.0008218286],"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":[0.00002314038,0.00001155497,0.0003465517,0.00003022121,0.000001271315,0.0001231915,0.00006183545,0.00001472331,0.00006366521,0.003461021,0.9555542,0.04030859],"study_design_scores_gemma":[0.000002708452,0.000001688543,0.0002623333,0.00003461688,7.93736e-7,0.0000464294,0.00008290848,0.000009548356,0.00002199686,0.0002108737,0.9993237,0.000002368445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007318815,0.003325351,0.0002621117,0.02028866,0.006744672,0.00006097677,0.001030478,0.0003064758,0.9672495],"genre_scores_gemma":[0.001958649,0.0006549514,0.00008789609,0.00155516,0.0002726468,0.000008735455,0.0001526398,0.00005463675,0.9952548],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8502091,"threshold_uncertainty_score":0.5968928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.031581488250576,"score_gpt":0.2451799960055333,"score_spread":0.2135985077549573,"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."}}