{"id":"W4239269843","doi":"10.1177/117693430700300016","title":"The 2006 NESCent Phyloinformatics Hackathon: A Field Report","year":2007,"lang":"en","type":"article","venue":"National University of Singapore","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interoperability; Computer science; Workflow; Software engineering; Software; Usability; Software development; Data science; World Wide Web; Database; Human–computer interaction","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":[0.0007834072,0.00006275475,0.00006394808,0.00004523065,0.0002058685,0.00001274032,0.0002297147,0.000112728,0.00001573358],"category_scores_gemma":[0.0004346692,0.00005304576,0.00006949162,0.00008909999,0.0002033828,0.000005485897,0.0001186547,0.00009237631,0.000008380629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000266178,"about_ca_system_score_gemma":0.0002004322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001806978,"about_ca_topic_score_gemma":0.0001057254,"domain_scores_codex":[0.9990356,0.00001010882,0.0001928594,0.00008754743,0.0004981963,0.0001756658],"domain_scores_gemma":[0.9991141,0.00006255019,0.0001277504,0.0001484622,0.0004660406,0.00008109286],"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":[0.001427061,0.0006108189,0.01562929,0.0003593612,0.0004552216,0.0002100425,0.001905083,0.0001178791,0.08471502,0.004843362,0.6278773,0.2618496],"study_design_scores_gemma":[0.0005114165,0.0002189159,0.006881029,0.00001875748,0.00001017629,0.00005635216,0.001703826,0.000348054,0.0262343,0.0003087631,0.9635749,0.000133441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6770678,0.0011767,0.08717401,0.007802489,0.0009468026,0.0008208354,0.0001324168,0.000045091,0.2248339],"genre_scores_gemma":[0.9867036,0.0004026695,0.005153331,0.0003496007,0.000210632,1.218278e-7,0.0002048061,0.000005903021,0.006969326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3356977,"threshold_uncertainty_score":0.2163143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346120899614259,"score_gpt":0.2604416499732499,"score_spread":0.2469804409771073,"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."}}