{"id":"W3095138242","doi":"","title":"Intra-articular mineral lesions in an old Labrador.","year":2017,"lang":"en","type":"article","venue":"˜Le œPoint vétérinaire","topic":"Forensic Anthropology and Bioarchaeology Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Labrador Retriever; Medicine; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0002013814,0.0002635385,0.0003924489,0.0001038635,0.001886912,0.00009274294,0.0004018524,0.0001454039,0.0007720194],"category_scores_gemma":[0.00006975091,0.0002136028,0.000121866,0.00002414127,0.0114297,0.0004844848,0.0003204611,0.0003345512,0.0001371137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003340442,"about_ca_system_score_gemma":0.00005005746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02430436,"about_ca_topic_score_gemma":0.4141791,"domain_scores_codex":[0.9985401,0.00009355487,0.0003079405,0.0004121476,0.000129957,0.0005162802],"domain_scores_gemma":[0.9990053,0.00004175717,0.000140056,0.0006143095,0.00009965567,0.00009888763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001140708,0.0004454777,0.03093807,0.00005035697,0.0001202033,0.0004031945,0.05340357,0.000003120184,0.00004794277,0.8608075,0.02424567,0.02942081],"study_design_scores_gemma":[0.005735418,0.002276869,0.3666276,0.0005531045,0.0002892836,0.0001224432,0.3802245,0.0008089016,0.002618558,0.04807871,0.1903227,0.002341924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374555,0.0005423054,0.000006239474,0.05552864,0.001152756,0.0001974583,0.00003025499,0.0001015589,0.004985302],"genre_scores_gemma":[0.991104,0.0001018692,0.00005634292,0.001066867,0.0005728799,0.00003338082,0.00001837786,0.00002322144,0.007023048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8127288,"threshold_uncertainty_score":0.9994125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0326890734020218,"score_gpt":0.2713763546625419,"score_spread":0.2386872812605201,"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."}}