{"id":"W1532781897","doi":"10.1002/9780470567647.ch5","title":"Clustering: Unsupervised Learning in Large Biological Data","year":2010,"lang":"en","type":"other","venue":"","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Cluster analysis; Computer science; Unsupervised learning; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00311127,0.00130636,0.001482646,0.003273074,0.0008170954,0.002922155,0.0023774,0.001202565,0.01710949],"category_scores_gemma":[0.008319711,0.001012966,0.001172227,0.00583861,0.001019159,0.003543704,0.00217436,0.002158967,0.01210805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000867432,"about_ca_system_score_gemma":0.001227126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001656562,"about_ca_topic_score_gemma":0.003840186,"domain_scores_codex":[0.9977871,0.0006375272,0.000149419,0.0004526446,0.0009178173,0.00005547772],"domain_scores_gemma":[0.9958027,0.002542479,0.0001606184,0.0008167951,0.0005518512,0.0001255956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000792389,0.0001042089,0.0008640029,0.00120804,0.0001520659,0.0001110535,0.0002394163,0.02548316,0.004271953,0.04809267,0.1657021,0.753692],"study_design_scores_gemma":[0.00005666431,0.00004695621,0.003113456,0.000330157,0.00008634642,0.000519442,0.0001933427,0.560187,0.01552669,0.2365708,0.1832185,0.0001506114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008299545,0.001169614,0.9837737,0.0003273218,0.0001475757,0.000103008,0.001171446,0.008785072,0.003692197],"genre_scores_gemma":[0.008621246,0.001645689,0.9750346,0.0001828263,0.0001869364,0.00035593,0.003256759,0.002774993,0.007941029],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01710949,"threshold_uncertainty_score":0.05723691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04378149549439667,"score_gpt":0.3057683087653059,"score_spread":0.2619868132709092,"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."}}