{"id":"W6960996923","doi":"10.14288/1.0169141","title":"Alberni Advocate","year":2011,"lang":"en","type":"article","venue":"Open Collections","topic":"Gene expression and cancer classification","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":[0.0008477333,0.0005823372,0.0005388237,0.001513238,0.00564724,0.005285078,0.001030909,0.002649548,0.5963297],"category_scores_gemma":[0.004192153,0.0004031661,0.0002560452,0.001505453,0.0008663594,0.001543004,0.002548893,0.003040734,0.2999604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003297644,"about_ca_system_score_gemma":0.0108463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1431555,"about_ca_topic_score_gemma":0.3900289,"domain_scores_codex":[0.9987997,0.00006346789,0.00002896149,0.0002319989,0.0005956565,0.0002801809],"domain_scores_gemma":[0.997317,0.0001552155,0.00005894211,0.0001875609,0.001184383,0.001096894],"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":[0.00002136843,0.00001093866,0.0002853627,0.00002725666,0.000001055829,0.000104071,0.00006047276,0.00001254802,0.00005888556,0.002978333,0.9622533,0.03418632],"study_design_scores_gemma":[0.000002616831,0.000001627886,0.0002330466,0.00002941331,7.143868e-7,0.00004123862,0.00007793794,0.000008346497,0.00002196023,0.0001796582,0.9994012,0.000002317058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006878938,0.002859813,0.0002770495,0.01888937,0.006955234,0.00006835459,0.001293049,0.000392473,0.9685768],"genre_scores_gemma":[0.001611687,0.000582221,0.00009286219,0.001389187,0.0002731882,0.000009208238,0.000202951,0.00006652746,0.9957722],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8568444,"threshold_uncertainty_score":0.5757866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04125627244042575,"score_gpt":0.2725949551122991,"score_spread":0.2313386826718734,"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."}}