{"id":"W4292364250","doi":"10.1002/vetr.2168","title":"Sew very relaxing","year":2022,"lang":"en","type":"article","venue":"Veterinary Record","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00202729,0.0001001415,0.0001603301,0.0002978151,0.0008322098,0.000209096,0.000808606,0.00002485375,0.006950878],"category_scores_gemma":[0.0002554392,0.00008740969,0.000100153,0.00124605,0.00004177855,0.0004246399,0.001237676,0.0002708685,0.0008290145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001362196,"about_ca_system_score_gemma":0.0001196203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001163549,"about_ca_topic_score_gemma":0.00001514392,"domain_scores_codex":[0.9970322,0.0005545473,0.0003840636,0.000423026,0.001303225,0.0003029529],"domain_scores_gemma":[0.9987446,0.0003577745,0.0001120608,0.0005422765,0.0001397344,0.0001035397],"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":[0.003170242,0.0003270689,0.01245516,0.00001336506,0.00004431073,0.001663529,0.002247302,0.0005353476,0.02752737,0.002267161,0.4823198,0.4674293],"study_design_scores_gemma":[0.0002848016,0.004018615,0.003967258,0.00000513418,0.000002378236,0.0002719576,0.003953847,0.003486319,0.00008391774,0.01201177,0.9717168,0.0001972062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577698,0.00008576273,0.0004827263,0.001716755,0.001593868,0.0001620285,0.00002886116,0.00005933487,0.03810092],"genre_scores_gemma":[0.9729817,0.000003953774,0.0004789503,0.0001693179,0.0001788645,0.00009897385,0.00000952055,0.00001250789,0.02606622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.489397,"threshold_uncertainty_score":0.999949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.198599643801687,"score_gpt":0.4353624224846613,"score_spread":0.2367627786829743,"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."}}