{"id":"W6957596405","doi":"10.6068/dp14ba7b543244","title":"Trend 1998 - 2007. Statistics Canada. CANSIM: Agriculture - Farm Financial Statistics | Country: Canada | Table: Farm input price index | Variable: Animal production | Units: 1992=100, 1998-2007. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-003.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Index (typography); Agriculture; Descriptive statistics; Census; Production (economics); Summary statistics; Revenue; Official statistics","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001504698,0.002678653,0.002682444,0.000356254,0.0006025676,0.000799566,0.005354418,0.001712701,0.003663451],"category_scores_gemma":[0.001138672,0.00255935,4.502817e-7,0.002100988,0.000663827,0.0005929658,0.001738726,0.003580038,0.0007244158],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002467315,"about_ca_system_score_gemma":0.07146331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999028,"about_ca_topic_score_gemma":0.9998956,"domain_scores_codex":[0.9849277,0.00109042,0.00253371,0.003920703,0.004617144,0.002910344],"domain_scores_gemma":[0.9876499,0.0008949353,0.002881153,0.006377819,0.0004040049,0.001792246],"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":[0.0006065013,0.0003996906,0.00001632085,0.001430904,0.0007850205,0.002672503,0.000005537338,0.0002249336,0.00001478431,0.001448418,0.9922473,0.000148096],"study_design_scores_gemma":[0.001703154,0.0002638615,0.0000092132,0.0001209176,0.001489284,0.0008841102,0.0001868446,0.002771016,6.635696e-8,5.730472e-7,0.9894763,0.003094662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[7.913151e-8,0.002486397,0.0000954372,0.00000360885,0.005250795,0.002288732,0.9830961,0.0004028084,0.006375993],"genre_scores_gemma":[0.000002378619,0.0007297207,0.0011848,0.0005742976,0.00306385,0.00008384594,0.9804522,0.001217493,0.01269146],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.068996,"threshold_uncertainty_score":0.9995833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792885640507916,"score_gpt":0.2348316830965045,"score_spread":0.2169028266914254,"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."}}