{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003963043,0.0007577805,0.0008628022,0.001108072,0.00147097,0.005022644,0.001634754,0.001735881,0.0160124],"category_scores_gemma":[0.01351495,0.0008733972,0.0005332065,0.001413804,0.002069406,0.008293955,0.002211013,0.001784144,0.001139398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002886105,"about_ca_system_score_gemma":0.001582209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002273775,"about_ca_topic_score_gemma":0.001777867,"domain_scores_codex":[0.9969383,0.001352486,0.0001327836,0.0004454871,0.0005186999,0.0006122215],"domain_scores_gemma":[0.9937835,0.002821533,0.001123029,0.0005149216,0.0007340292,0.001022916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001452011,0.00008820786,0.0009172071,0.00009039159,0.00002275872,0.0002253833,0.0004645361,0.07323615,0.00113681,0.9084055,0.001264119,0.0140037],"study_design_scores_gemma":[0.0000871134,0.0001432297,0.0008552162,0.00005958304,0.00002738106,0.0001944812,0.0007910008,0.2022927,0.0005298679,0.7834778,0.01150562,0.00003598006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2825401,0.001294644,0.5729166,0.002353001,0.0001272495,0.000212407,0.0004852072,0.0001880866,0.1398828],"genre_scores_gemma":[0.9547734,0.000607129,0.03124744,0.0001055316,0.00005477397,0.0001143865,0.0001672626,0.00006075057,0.01286934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0160124,"threshold_uncertainty_score":0.05356681,"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."}}