{"id":"W6977442526","doi":"10.6084/m9.figshare.12127635","title":"Additional file 1 of Enhancing the monitoring of fallen stock at different hierarchical administrative levels: an illustration on dairy cattle from regions with distinct husbandry, demographical and climate traits","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Stock (firearms); Dairy cattle; Dairy farming; Climate change","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001717723,0.0007442686,0.0007711698,0.001918799,0.0006038953,0.001123219,0.001308272,0.0007825359,0.8382151],"category_scores_gemma":[0.02243452,0.0004246937,0.0006732839,0.003268409,0.0002036797,0.001197808,0.0008965305,0.0005750075,0.1497515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006795245,"about_ca_system_score_gemma":0.00106931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01182529,"about_ca_topic_score_gemma":0.02286574,"domain_scores_codex":[0.9994088,0.0001471409,0.00008514288,0.0001636196,0.0001128014,0.00008237911],"domain_scores_gemma":[0.9776427,0.0178834,0.0008950249,0.001102845,0.002036909,0.0004390324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001658681,0.00004920323,0.003618831,0.0009257891,0.00002849851,0.00004782303,0.00007660882,0.0006218688,0.00009192689,0.0004601707,0.985803,0.008110377],"study_design_scores_gemma":[0.004146894,0.0002671237,0.06880943,0.002323681,0.0001939911,0.0004341672,0.0009310103,0.005206869,0.001214618,0.01036371,0.9059379,0.0001705646],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000229576,0.000006009631,0.0003246532,0.00005540052,0.00001356634,0.00004318244,0.9983411,0.0002900959,0.0006964314],"genre_scores_gemma":[0.01561779,0.00008084621,0.008929469,0.0003879915,0.0001029888,0.001812575,0.9628481,0.001579299,0.008640937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8382151,"threshold_uncertainty_score":0.2307664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06941267404781891,"score_gpt":0.2453681176281381,"score_spread":0.1759554435803192,"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."}}