{"id":"W4382245129","doi":"10.11647/obp.0362.17","title":"Mechanism design","year":2023,"lang":"en","type":"book-chapter","venue":"Open Book Publishers","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Matching (statistics); Mechanism (biology); Type (biology); Social psychology; Psychology; Computer science; Mathematics; Statistics; Biology; Epistemology; Ecology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001222481,0.000535442,0.0005652361,0.0006005617,0.0003080891,0.009195041,0.001855206,0.000392309,0.01901729],"category_scores_gemma":[0.000097852,0.0005504786,0.0002098685,0.0001599954,0.00006284197,0.007531257,0.001879905,0.0005467748,0.006445405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007065197,"about_ca_system_score_gemma":0.000155258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008986918,"about_ca_topic_score_gemma":0.0001642929,"domain_scores_codex":[0.9977747,0.00001070849,0.0004554791,0.0007675161,0.0005138476,0.000477706],"domain_scores_gemma":[0.9984416,0.0001145741,0.0004275781,0.0007498172,0.0002282133,0.00003821409],"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":[0.00003436037,0.000008870249,0.00002222981,0.00006442104,0.00008443824,0.00009751428,0.00001185093,0.000001740712,0.000008148143,0.2999351,0.6765227,0.0232086],"study_design_scores_gemma":[0.0003416135,0.000006421962,0.00004306408,0.0001869946,0.0002538008,0.000002194713,0.00002695992,0.0000497339,0.0000025287,0.08381348,0.9146031,0.0006701349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002026048,0.000117718,0.0002628338,0.001290364,0.001839582,0.001246464,0.000006530383,0.0004196702,0.9948148],"genre_scores_gemma":[0.0001227073,0.00003692934,0.0002300549,0.003988823,0.0007943466,0.00008335424,0.0001780828,0.0002892059,0.9942765],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2380803,"threshold_uncertainty_score":0.9996946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0760514680008809,"score_gpt":0.252001582652833,"score_spread":0.175950114651952,"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."}}