{"id":"W6964036767","doi":"10.25318/1810011601-eng","title":"Farm input price index, animal production","year":2020,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Index (typography); Production (economics); Animal production; Price index","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"],"consensus_categories":[],"category_scores_codex":[0.0002609546,0.0005942269,0.0004954355,0.0002807152,0.0002398734,0.0001415626,0.0005059747,0.0002723536,0.0002698455],"category_scores_gemma":[0.003799747,0.0007071956,0.00003132374,0.0009527296,0.0000906479,0.0001240499,0.0001327316,0.0008223543,0.0003830925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002166684,"about_ca_system_score_gemma":0.002328516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2132644,"about_ca_topic_score_gemma":0.8966149,"domain_scores_codex":[0.9958339,0.0001504096,0.0006988129,0.0009358657,0.001846864,0.0005341538],"domain_scores_gemma":[0.9972383,0.000229414,0.0008767584,0.0006283041,0.0007014466,0.0003257985],"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":[0.00009334083,0.00006868449,0.00001655261,0.0005211946,0.00007808473,0.000171293,0.0000436819,0.00002319661,0.0003064041,0.0001882954,0.997005,0.001484281],"study_design_scores_gemma":[0.0001434998,0.00009032204,0.007448875,0.0001340828,0.000215729,0.00002219488,0.0001099813,0.0001416999,0.0002434727,0.00007410909,0.9906365,0.0007395355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003007313,0.00004613375,0.0006525763,0.0002367035,0.001468242,0.0007553006,0.9966777,0.0000881879,0.00004506748],"genre_scores_gemma":[0.001340926,0.00004194771,0.0006302629,0.0001209096,0.0006215285,0.0001015023,0.9966502,0.0001409151,0.0003517807],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6833505,"threshold_uncertainty_score":0.9995379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008601754761531166,"score_gpt":0.262491536205588,"score_spread":0.2538897814440568,"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."}}