{"id":"W7093474248","doi":"","title":"Review of <i> Trails and Trials: Markets and Land Use in the Alberta Beef Cattle Industry, 1881-1948</i> By Max Foran","year":2004,"lang":"","type":"article","venue":"Insecta mundi","topic":"Political Influence and Corporate Strategies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Documentation; Beef cattle; Land use; Agriculture; Order (exchange); Key (lock)","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":[0.002770132,0.0005833384,0.001251397,0.0002500304,0.0002688902,0.001034448,0.0005537326,0.0004810169,0.0002923149],"category_scores_gemma":[0.001882826,0.0004415118,0.000187777,0.0008803064,0.0007165537,0.002256082,0.0002272641,0.0006327637,0.00002831361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005041935,"about_ca_system_score_gemma":0.0002108252,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0332287,"about_ca_topic_score_gemma":0.0235524,"domain_scores_codex":[0.9962453,0.0003055148,0.001543533,0.0006411913,0.0004408341,0.0008235801],"domain_scores_gemma":[0.9973291,0.00100506,0.0007965173,0.0005946284,0.0001861872,0.00008849592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002517719,0.003941487,0.4355482,0.07335431,0.001579374,0.0004352704,0.003969208,0.0000394761,0.0148616,0.3325222,0.08448027,0.04675093],"study_design_scores_gemma":[0.01038861,0.0004120492,0.4607775,0.0320642,0.001779528,0.0001185349,0.0003616113,0.00009384607,0.0001103997,0.03810682,0.4534189,0.002368049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168643,0.06475273,0.000005250109,0.004135639,0.0002288578,0.001339481,0.0001286409,0.00002135014,0.01252377],"genre_scores_gemma":[0.9676697,0.02549839,0.00001512558,0.005900837,0.0003537272,0.00006913679,0.00007829964,0.00004270214,0.0003720767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3689386,"threshold_uncertainty_score":0.9998037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05768367753182779,"score_gpt":0.2822620085729921,"score_spread":0.2245783310411643,"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."}}