{"id":"W1539415850","doi":"10.22004/ag.econ.18111","title":"PRICE DISCOVERY MECHANISMS AND ALTERNATIVES FOR CANADIAN AGRICULTURE; Part III: Applying Pricing Mechanisms","year":2003,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Context (archaeology); Agriculture; Computer science; Industrial organization; Economics; Microeconomics; Ecology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003496821,0.0001717149,0.0002603573,0.00004179076,0.0006872129,0.00007870594,0.000280021,0.0001151891,0.0002868553],"category_scores_gemma":[0.00002480051,0.00008943106,0.0001144602,0.0002147639,0.00008183637,0.0005058578,0.00007469816,0.0001164689,0.00001487864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008617211,"about_ca_system_score_gemma":0.00003880901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05219042,"about_ca_topic_score_gemma":0.1412453,"domain_scores_codex":[0.9988111,0.00006690823,0.0001397219,0.0003749135,0.000128556,0.0004787882],"domain_scores_gemma":[0.9992313,0.0001873786,0.0001181942,0.00006030157,0.00009673912,0.000306046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009734643,0.0001556858,0.002036231,0.000104261,0.0002627495,0.00004166862,0.003402868,0.00007997024,0.4029224,0.5529549,0.004652392,0.03328959],"study_design_scores_gemma":[0.004420103,0.002515148,0.1906884,0.0003072104,0.0002654237,0.0001573223,0.09428309,0.001360561,0.07207469,0.03577781,0.5946823,0.003467942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939403,0.00006362469,0.000748104,0.00120857,0.00008707114,0.0006200642,0.0001912501,0.00001571687,0.003125291],"genre_scores_gemma":[0.9939664,0.0002484734,0.001669164,0.000158635,0.00006563467,0.000004490658,0.00006779905,0.000001722811,0.003817679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.59003,"threshold_uncertainty_score":0.9541211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543931088037381,"score_gpt":0.2038543638690966,"score_spread":0.1784150529887228,"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."}}