{"id":"W4234593158","doi":"10.1007/978-3-540-68706-1_1332","title":"db/db Mouse","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science","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":[0.0009457713,0.003191307,0.00143551,0.005258976,0.001246209,0.001804158,0.0043115,0.002500282,0.118601],"category_scores_gemma":[0.0003142393,0.001758182,0.001152233,0.001804321,0.0007691628,0.002052078,0.001154219,0.004620581,0.1360501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007937624,"about_ca_system_score_gemma":0.0005446907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001016148,"about_ca_topic_score_gemma":0.003835773,"domain_scores_codex":[0.9990429,0.00004667741,0.00007149266,0.0003339776,0.0003631563,0.0001417894],"domain_scores_gemma":[0.9995609,0.00006577911,0.00007076667,0.0001126496,0.00007597501,0.0001138177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000397511,0.0003235214,0.0002842897,0.0005513376,0.00005162858,0.0005861756,0.00009772617,0.0001984548,0.8456658,0.01521847,0.07723423,0.05939084],"study_design_scores_gemma":[0.00009378762,0.0001304823,0.001726744,0.00015574,0.000155199,0.002999785,0.0000500539,0.0008334618,0.3731135,0.00301365,0.6176684,0.00005915376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06122556,0.01647127,0.2979939,0.003691244,0.004396945,0.001558264,0.1451291,0.05244303,0.4170906],"genre_scores_gemma":[0.04144989,0.009020505,0.08312631,0.001868431,0.0003023017,0.001279629,0.06674095,0.01308,0.783132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.118601,"threshold_uncertainty_score":0.3967599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005954080736713742,"score_gpt":0.2321115957547015,"score_spread":0.2261575150179877,"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."}}