{"id":"W6927022270","doi":"10.25625/xn7lqy/oyaiif","title":"method_protocols.docx","year":2021,"lang":"en","type":"dataset","venue":"Göttingen Research Online","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00402479,0.0004186069,0.0009788439,0.0005990083,0.0002733053,0.000139832,0.0006243683,0.0007412993,0.009145673],"category_scores_gemma":[0.006681331,0.0003122611,0.0003004797,0.001245667,0.0002544254,0.00005004089,0.0008760573,0.003760528,0.0008737622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002164303,"about_ca_system_score_gemma":0.001222021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005277871,"about_ca_topic_score_gemma":0.0001958774,"domain_scores_codex":[0.994699,0.0009891344,0.0006181021,0.001136087,0.001509995,0.001047664],"domain_scores_gemma":[0.9955326,0.0006036054,0.0001589817,0.001738101,0.001538705,0.0004279918],"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":[0.0002149807,0.0005989115,0.000002680239,0.001543798,0.0002124404,0.0008104329,0.000005353526,5.231403e-8,0.01398883,0.000001841996,0.9675905,0.01503019],"study_design_scores_gemma":[0.0004783035,0.0003510871,0.0000381166,0.000999748,0.0001521558,0.0001469774,0.00004304785,0.000002970589,0.01510549,0.00002739152,0.9823551,0.0002995839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001565794,0.002925504,7.812764e-7,0.009659824,0.0002456119,0.00599395,0.9806915,0.00005507217,0.0002711984],"genre_scores_gemma":[0.000004283842,0.001808355,0.00832307,0.0009246559,0.003958884,0.0001176312,0.9775952,0.00005563894,0.007212312],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01476464,"threshold_uncertainty_score":0.9999329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1738317777150637,"score_gpt":0.4861021960926785,"score_spread":0.3122704183776147,"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."}}