{"id":"W1921908967","doi":"10.71781/32336","title":"In silico analysis of mitochondrial proteins","year":2009,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Canadian Institutes of Health Research","keywords":"Humanities; Molecular biology; Biology; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009559587,0.001806074,0.001368901,0.001493061,0.0008762329,0.001871798,0.001197545,0.001134473,0.006356603],"category_scores_gemma":[0.001873392,0.0006018167,0.002990957,0.001172133,0.0002506915,0.0007803782,0.0006237883,0.0009515238,0.003560866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007173602,"about_ca_system_score_gemma":0.001413341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00193004,"about_ca_topic_score_gemma":0.003809665,"domain_scores_codex":[0.9995267,0.0001064754,0.00003759982,0.000168825,0.0001078859,0.00005243289],"domain_scores_gemma":[0.9994423,0.0003296123,0.00005915323,0.00005229403,0.00008145424,0.00003518954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006358225,0.001312117,0.06192287,0.01069558,0.003105685,0.004830847,0.0008203067,0.2000018,0.4884825,0.01353073,0.03947611,0.1694633],"study_design_scores_gemma":[0.0003521439,0.0008439424,0.0205106,0.0004309943,0.001337307,0.001560463,0.0003930045,0.7709975,0.1150768,0.007351476,0.0810036,0.0001420342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5712277,0.0112203,0.2772095,0.002197922,0.001176528,0.0006624166,0.0800193,0.03712658,0.0191597],"genre_scores_gemma":[0.5979506,0.005392361,0.2582937,0.0005582424,0.0001213682,0.0005792201,0.1266904,0.00242443,0.00798951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006356603,"threshold_uncertainty_score":0.02126491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457656165568248,"score_gpt":0.3022427249740095,"score_spread":0.287666163318327,"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."}}