{"id":"W2133243651","doi":"10.1093/biosci/biu126","title":"Bioinformatics: Hypothesis Free—Or Hypotheses Freed?","year":2014,"lang":"en","type":"article","venue":"BioScience","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Biology; Computational biology; Evolutionary biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003777983,0.0001608281,0.0001329552,0.00005270462,0.0001622573,0.00008497981,0.0007410867,0.0001235566,0.00004772054],"category_scores_gemma":[0.0004625695,0.0001171989,0.00007115757,0.0001591403,0.0002427839,0.00001211673,0.0002609821,0.00006132582,0.00009652322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009529373,"about_ca_system_score_gemma":0.00006828146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001027672,"about_ca_topic_score_gemma":0.00003368306,"domain_scores_codex":[0.9989454,0.00002289588,0.0002694404,0.0002250412,0.0001835168,0.0003536706],"domain_scores_gemma":[0.9989542,0.00004533875,0.0001160745,0.0007087532,0.00004491499,0.0001306713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002923404,0.0002837779,0.002898117,0.0002135103,0.0001069146,0.000004189986,0.0007438036,0.0005535652,0.355805,0.008185293,0.2505798,0.3803337],"study_design_scores_gemma":[0.001854035,0.001677872,0.008569228,0.00009038897,0.00004505409,0.0001075082,0.0005611771,0.04818139,0.1147817,0.005372917,0.8171773,0.001581364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6213244,0.0007605171,0.2541445,0.001862256,0.002411026,0.001079658,0.0001921988,0.0002324134,0.1179931],"genre_scores_gemma":[0.941279,0.0001419356,0.05296952,0.002610204,0.0004045769,0.00001591467,0.00001113378,0.00002075626,0.002546975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5665975,"threshold_uncertainty_score":0.4779233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728269580948403,"score_gpt":0.2185047676179083,"score_spread":0.2012220718084243,"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."}}