{"id":"W2993298007","doi":"","title":"Jerseys in Canada : technology","year":2008,"lang":"en","type":"article","venue":"˜The œdairy mail/˜The œDairy mail","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consistency (knowledge bases); Mathematical proof; Genealogy; Mathematics; History; Discrete mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001687233,0.0004606964,0.0003496012,0.001871763,0.01651573,0.00947805,0.00161878,0.002743683,0.07404343],"category_scores_gemma":[0.003585287,0.0005997724,0.0004468914,0.003577874,0.003483724,0.003188617,0.003495632,0.003679037,0.009356562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08682579,"about_ca_system_score_gemma":0.2209284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9899498,"about_ca_topic_score_gemma":0.9959551,"domain_scores_codex":[0.9966523,0.0001282661,0.00006926821,0.0003714319,0.001568569,0.001210219],"domain_scores_gemma":[0.9965448,0.0001756579,0.00007272543,0.0001293137,0.001802743,0.00127475],"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":[0.00004180843,0.00004396705,0.005346939,0.0001311144,0.00001053872,0.0004101126,0.003286428,0.0001680149,0.0005646265,0.1722572,0.7108858,0.1068535],"study_design_scores_gemma":[0.000004221541,0.000006680534,0.004962438,0.00005517009,0.000005440286,0.00004820633,0.001424114,0.0000474215,0.0001257181,0.001201943,0.9921011,0.00001752193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01985835,0.01506269,0.002010061,0.158797,0.003727407,0.0001458155,0.004425903,0.0004549282,0.7955179],"genre_scores_gemma":[0.05733866,0.008867523,0.002643111,0.01861907,0.0002810157,0.00005862148,0.001865346,0.0001815556,0.9101451],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08682579,"threshold_uncertainty_score":0.6299682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125811562713914,"score_gpt":0.17686097713678,"score_spread":0.1642798208653886,"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."}}