{"id":"W7087710470","doi":"10.5281/zenodo.17314654","title":"CanPests","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Genome Canada","keywords":"Barcode; DNA barcoding; Identifier; Host (biology); Identification (biology)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005631287,0.001771497,0.001137092,0.003954487,0.001533135,0.001600548,0.002636261,0.001609038,0.05078173],"category_scores_gemma":[0.00450509,0.0005310448,0.001380308,0.008146083,0.0004527246,0.0008124316,0.001166458,0.001222857,0.03136159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005566793,"about_ca_system_score_gemma":0.01015835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7304399,"about_ca_topic_score_gemma":0.8285967,"domain_scores_codex":[0.9992689,0.00006285935,0.00004845845,0.0001984751,0.0002538024,0.0001674447],"domain_scores_gemma":[0.9985014,0.0002238497,0.00009667344,0.0002248934,0.0007574448,0.0001957698],"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":[0.00007715454,0.00001584615,0.00112595,0.0004529435,0.0000453639,0.00002473124,0.00002912316,0.0006059363,0.0001437931,0.0006549495,0.9940684,0.002755747],"study_design_scores_gemma":[0.0001798634,0.00001218713,0.007938723,0.0003088031,0.00006816597,0.00004870185,0.0001021316,0.001026695,0.0002823322,0.001016131,0.988971,0.00004522457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001831194,0.00006132673,0.00003409683,0.0000363125,0.00001069534,0.000008473623,0.9987537,0.0001532872,0.0007589968],"genre_scores_gemma":[0.0004005012,0.00005366032,0.0001911549,0.00003212637,0.000001829872,0.00002559782,0.9987147,0.00003008863,0.0005503378],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7304399,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02324126544405549,"score_gpt":0.2793966533062883,"score_spread":0.2561553878622329,"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."}}