{"id":"W6926651715","doi":"10.25545/mmnbnm/vhwgzj","title":"MWL_recordings.zip","year":2025,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009821183,0.003734597,0.001524423,0.003329095,0.0008516313,0.002914072,0.003287794,0.00310138,0.1245273],"category_scores_gemma":[0.005144763,0.0008565105,0.001610895,0.005070858,0.0006314911,0.001664312,0.002132934,0.00204772,0.1791684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369074,"about_ca_system_score_gemma":0.001626588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01465291,"about_ca_topic_score_gemma":0.02251751,"domain_scores_codex":[0.9989629,0.0001832561,0.0001084142,0.0003756566,0.0002155331,0.0001543092],"domain_scores_gemma":[0.9983783,0.0005104079,0.000124117,0.0004901926,0.0002894926,0.0002074917],"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":[0.0001022629,0.00003135556,0.0002549283,0.0006482897,0.0000263801,0.00002120074,0.00001447815,0.0002858225,0.0001946192,0.0003149191,0.9951732,0.002932532],"study_design_scores_gemma":[0.0003827632,0.0000468821,0.00150995,0.0002066816,0.00003683295,0.00007390221,0.00006257224,0.001014898,0.0009049211,0.001153136,0.9945732,0.00003436238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001641382,0.00009838862,0.0000966865,0.0000826216,0.00003586683,0.00001428462,0.9971507,0.001317282,0.00104008],"genre_scores_gemma":[0.0004969872,0.00008350852,0.0003362822,0.00007154288,0.00001010339,0.00005700524,0.9978225,0.0001965381,0.0009254943],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8754727,"threshold_uncertainty_score":0.4165853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174935846767042,"score_gpt":0.2629383966521274,"score_spread":0.251189038184457,"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."}}