{"id":"W7012151354","doi":"","title":"CBCR 3 2010 10 15","year":2010,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Staring; Zoom; Window (computing); Face (sociological concept); Key (lock)","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":[0.001695311,0.001070735,0.0009361146,0.002628784,0.002290595,0.01077447,0.001990359,0.003158189,0.7599072],"category_scores_gemma":[0.003926317,0.0005417846,0.0007751978,0.002288811,0.0008443635,0.003405953,0.003668204,0.002930633,0.8079848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004117744,"about_ca_system_score_gemma":0.003916164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02116156,"about_ca_topic_score_gemma":0.04291467,"domain_scores_codex":[0.9988554,0.0001048525,0.00005418199,0.0002723983,0.0005064088,0.0002067995],"domain_scores_gemma":[0.9975129,0.0001438368,0.00006143288,0.0004268128,0.001040117,0.0008147625],"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":[0.00001915169,0.00001531228,0.00004799207,0.00005368207,0.000001626295,0.00001580043,0.00002061678,0.00003026339,0.000152247,0.004102604,0.9644381,0.03110271],"study_design_scores_gemma":[0.000002795033,0.000003631083,0.00008110856,0.00004243505,0.000001242756,0.00001434237,0.0000193393,0.00002509238,0.00006889019,0.0004608478,0.9992771,0.000003309915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003173973,0.001494175,0.001697597,0.005260023,0.005879059,0.0001112077,0.006426634,0.004812534,0.9740013],"genre_scores_gemma":[0.0007365447,0.0005328802,0.0004766439,0.0006926565,0.0002147052,0.00002739165,0.003117851,0.0007169538,0.9934843],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2400928,"threshold_uncertainty_score":0.3424631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003699523143971403,"score_gpt":0.1903168316491372,"score_spread":0.1866173085051658,"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."}}