{"id":"W3205728518","doi":"10.1093/jas/skab235.194","title":"200 A Scoring System for Equine Dental Health","year":2021,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agribrands Purina (Canada)","funders":"","keywords":"Medicine; Dentistry; Scoring system; Lameness; Malocclusion; Soft tissue; Dentition; Orthodontics; Cohen's kappa; Surgery; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006365932,0.0007543557,0.0004501162,0.006333925,0.0007581551,0.001605128,0.0008793594,0.0008067337,0.01501918],"category_scores_gemma":[0.008716698,0.0003000846,0.0007547105,0.002000231,0.0005069313,0.001006944,0.001508954,0.0006587229,0.00442697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001216,"about_ca_system_score_gemma":0.00113375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002603941,"about_ca_topic_score_gemma":0.003828268,"domain_scores_codex":[0.9952908,0.001618894,0.001210048,0.0002783336,0.001401588,0.0002003074],"domain_scores_gemma":[0.9902407,0.002132533,0.0008976104,0.0005688298,0.005816787,0.0003434707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001772042,0.0006856237,0.2662717,0.001342383,0.000175773,0.0008086398,0.001739874,0.003917248,0.04399797,0.008684056,0.06709266,0.603512],"study_design_scores_gemma":[0.0004747798,0.003864191,0.6998423,0.001154229,0.0002408741,0.005217801,0.003017453,0.08264997,0.03255143,0.00676442,0.1637192,0.00050342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5880973,0.001581769,0.23395,0.00164947,0.001207601,0.0116589,0.01812084,0.005514745,0.1382194],"genre_scores_gemma":[0.492868,0.0009700602,0.4629634,0.0004346689,0.0002203774,0.005637383,0.01172343,0.0002050114,0.02497767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01501918,"threshold_uncertainty_score":0.05024415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1942977193154516,"score_gpt":0.4757309376391199,"score_spread":0.2814332183236683,"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."}}