{"id":"W6913068072","doi":"10.5683/sp3/go8ujy","title":"Supplemental data: Perceived training gaps of newly licensed veterinarians and impact of single-instance peer mentorship participation in Ontario, Canada - Interviews with mentors","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Mentorship; Inclusion (mineral); Data collection; Peer review; Qualitative research; Training (meteorology)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003385485,0.001141958,0.001014221,0.008451886,0.002480553,0.002805575,0.002558847,0.001026986,0.09348559],"category_scores_gemma":[0.02320079,0.0008142627,0.001496992,0.01410257,0.0005121729,0.001236231,0.002565434,0.001206081,0.018742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01904564,"about_ca_system_score_gemma":0.03116852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9406913,"about_ca_topic_score_gemma":0.9762897,"domain_scores_codex":[0.997687,0.0002632122,0.0003543393,0.0003118106,0.000815445,0.0005682464],"domain_scores_gemma":[0.9676064,0.007541135,0.002590589,0.00190099,0.01841853,0.001942307],"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":[0.0001651141,0.00005144516,0.02454799,0.002359504,0.0001040115,0.00007188469,0.001226078,0.0004251346,0.0001148716,0.000635984,0.9614909,0.008807128],"study_design_scores_gemma":[0.000302349,0.00004342652,0.3181201,0.003016273,0.0001281662,0.0001020294,0.004412345,0.000687597,0.0003798735,0.000579387,0.6721146,0.0001139196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000608197,0.00003834493,0.00004254399,0.00005059176,0.000009426386,0.00003328204,0.998302,0.00004597014,0.0008697198],"genre_scores_gemma":[0.004392947,0.0001148151,0.0006149336,0.00005898497,0.000007472967,0.0005578237,0.9907826,0.0000643522,0.003406268],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09348559,"threshold_uncertainty_score":0.3127404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07789478440053416,"score_gpt":0.3349549701443565,"score_spread":0.2570601857438224,"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."}}