{"id":"W4400745388","doi":"10.3389/fvets.2024.1418747","title":"Best practices for recruitment in veterinary clinical trials","year":2024,"lang":"en","type":"review","venue":"Frontiers in Veterinary Science","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Colorado State University; Ohio State University","keywords":"Workforce; Best practice; Incentive; Clinical trial; Medicine; Veterinary medicine; Quality (philosophy); Nursing; Medical education; Business; Pathology; Management; Political science","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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.1317467,0.0006021495,0.004960009,0.002371804,0.000137316,0.0002358439,0.001903848,0.001405528,0.00003457151],"category_scores_gemma":[0.1859458,0.000448372,0.001208841,0.003119942,0.0023179,0.0004454725,0.001285727,0.005760571,0.0001299829],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304945,"about_ca_system_score_gemma":0.009544515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004198219,"about_ca_topic_score_gemma":0.000007581903,"domain_scores_codex":[0.9865518,0.003079826,0.004769859,0.002530344,0.00187804,0.001190174],"domain_scores_gemma":[0.9581956,0.03662609,0.002103834,0.001994934,0.000365928,0.0007136419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006382032,0.0005903114,0.00005417474,0.03571788,0.0001042943,0.001780257,0.00008024453,2.156174e-7,0.000007047346,0.0002377239,0.002957302,0.9578323],"study_design_scores_gemma":[0.0008429382,0.01002675,0.00002439999,0.05375724,0.0005625984,0.0003310961,0.0001795685,0.0001983875,2.180535e-7,0.001786149,0.9319074,0.0003832915],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003662948,0.9776347,0.0001772952,0.0007956774,0.01053891,0.008111242,0.00008656172,0.00004887296,0.002240483],"genre_scores_gemma":[0.00003064645,0.9510537,0.03942013,0.0001563405,0.0007365807,0.001855412,0.00003464167,0.00008306665,0.006629441],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9574491,"threshold_uncertainty_score":0.9998909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9607364688770164,"score_gpt":0.7703052032299558,"score_spread":0.1904312656470606,"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."}}