{"id":"W3038988774","doi":"10.3982/te2963","title":"Production priorities in dynamic relationships","year":2020,"lang":"en","type":"article","venue":"Theoretical Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Workplace Health, Safety and Compensation Commission; Queen's University; University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Commit; Principal (computer security); Production (economics); Scope (computer science); Compensation (psychology); Microeconomics; Incentive; Economics; Risk analysis (engineering); Business; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001227833,0.00007103728,0.00009887839,0.000003514931,0.00008336079,0.00002395586,0.0001223675,0.00006176875,0.0001652468],"category_scores_gemma":[0.0001646825,0.0000251693,0.00004224137,0.0001211967,0.0001725757,0.0001023096,0.00003615026,0.0001601424,0.00009554078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002689588,"about_ca_system_score_gemma":0.000004362792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006582121,"about_ca_topic_score_gemma":0.0001013505,"domain_scores_codex":[0.9994143,0.00005187673,0.000156606,0.0002009178,0.00003272875,0.0001435718],"domain_scores_gemma":[0.9997445,0.0001108501,0.00002975116,0.0000230305,0.00001182793,0.00008009405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001085746,0.00005217719,0.03817093,0.000009519363,0.000006539636,0.000002764456,0.0007435014,0.0007311801,0.01577021,0.907864,0.000124898,0.03641573],"study_design_scores_gemma":[0.0001413249,0.0002034052,0.8650489,0.00001743511,0.000009370437,0.000009392644,0.00220023,0.005418054,0.001133677,0.1229562,0.002509902,0.0003520267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819122,0.00005206793,0.000002928419,0.01613231,0.00005895686,0.000114939,0.000004954784,0.00004074982,0.001680908],"genre_scores_gemma":[0.9993501,0.0001753765,0.00007475999,0.0001987049,0.0001325512,0.000004867199,0.00001099179,4.57382e-7,0.0000522364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.826878,"threshold_uncertainty_score":0.1809336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169988026957492,"score_gpt":0.1916952967596537,"score_spread":0.1746964940639045,"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."}}