{"id":"W4241214226","doi":"10.3233/hab-2010-0220","title":"Session 4: Molecular Biology","year":2010,"lang":"en","type":"article","venue":"Human Antibodies","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Session (web analytics); Computational biology; Biology; Chemistry; Psychology; Computer science; World Wide Web","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":[0.007554509,0.003471395,0.002572973,0.002907273,0.004266883,0.005972127,0.003270611,0.007214418,0.2841859],"category_scores_gemma":[0.003236649,0.001097699,0.003368367,0.001514979,0.00082956,0.002946418,0.008015546,0.007191861,0.2599218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00328722,"about_ca_system_score_gemma":0.00560537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001164788,"about_ca_topic_score_gemma":0.002715593,"domain_scores_codex":[0.9974082,0.0004749183,0.00009288747,0.0005233588,0.0008474476,0.0006533066],"domain_scores_gemma":[0.9947956,0.0002541142,0.0001467146,0.0005023656,0.001509805,0.002791414],"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":[0.0005810653,0.0003606508,0.0005102557,0.0004703035,0.0000557143,0.0001236772,0.00009319548,0.0003177417,0.008665485,0.003056105,0.9165382,0.0692276],"study_design_scores_gemma":[0.00006828981,0.0003036659,0.001465259,0.00009224458,0.00003026579,0.0002255823,0.00006466795,0.0003813263,0.005445476,0.003802552,0.9880936,0.00002708122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01723717,0.04352605,0.05974927,0.1020516,0.2113604,0.006076486,0.01481666,0.01123943,0.5339428],"genre_scores_gemma":[0.01708541,0.006031827,0.007449978,0.008230212,0.02672305,0.001618539,0.007736279,0.001482546,0.9236422],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2841859,"threshold_uncertainty_score":0.9506967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832654814362989,"score_gpt":0.3360552711372771,"score_spread":0.3177287229936472,"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."}}