{"id":"W3141154958","doi":"10.1080/15216540410001667911","title":"How I Became a Biochemist","year":2004,"lang":"en","type":"article","venue":"IUBMB Life","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Biochemist; Citation; Rose (mathematics); Library science; Computer science; History; Mathematics; Classics","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":[0.01104266,0.0009760258,0.000873349,0.001712761,0.01530001,0.02248284,0.002337147,0.01597784,0.03122902],"category_scores_gemma":[0.03413903,0.0008587512,0.001356957,0.0008093474,0.02345517,0.01507347,0.01116901,0.04019782,0.01989395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00903235,"about_ca_system_score_gemma":0.01553747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005223759,"about_ca_topic_score_gemma":0.008942547,"domain_scores_codex":[0.9863408,0.006180322,0.0003361992,0.001718118,0.003169385,0.002255314],"domain_scores_gemma":[0.9643574,0.002671602,0.001008674,0.001012623,0.005391973,0.02555779],"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":[0.0001201726,0.0002546299,0.001643873,0.0002297106,0.0000561243,0.001045779,0.01470004,0.00006427556,0.001169476,0.08509706,0.8622384,0.03338039],"study_design_scores_gemma":[0.00001959657,0.00003896332,0.0002966983,0.000281908,0.00001090656,0.0005920538,0.006688053,0.00001727166,0.0001768677,0.02134269,0.9705018,0.00003320723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001492999,0.01153744,0.000977061,0.8918385,0.04297304,0.00003068754,0.00004566538,0.00008956525,0.05101501],"genre_scores_gemma":[0.03592135,0.008957843,0.001738494,0.6961502,0.0115257,0.0001171599,0.00006779161,0.0002299475,0.2452916],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03122902,"threshold_uncertainty_score":0.1044715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009065686188422205,"score_gpt":0.2234865742910292,"score_spread":0.214420888102607,"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."}}