{"id":"W4388365390","doi":"10.1093/oso/9780198529446.003.0011","title":"How to take matters further","year":2005,"lang":"en","type":"book-chapter","venue":"","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Ask price; Point (geometry); Scarcity; Computer science; Wasting; Public relations; Knowledge management; Business; Political science; Economics; Microeconomics; Medicine; Mathematics; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00723698,0.0009247538,0.0007174244,0.001200362,0.003388969,0.01106901,0.002002122,0.006124752,0.1152378],"category_scores_gemma":[0.02556266,0.0004380209,0.0009969501,0.0008957735,0.004854802,0.01395096,0.003227294,0.009560975,0.08364727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003712284,"about_ca_system_score_gemma":0.007725655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006174139,"about_ca_topic_score_gemma":0.00889091,"domain_scores_codex":[0.9949314,0.001653721,0.0002323608,0.0004457667,0.002377163,0.000359586],"domain_scores_gemma":[0.9876408,0.003380309,0.0003713764,0.001565986,0.005488761,0.001552849],"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":[0.00001180145,0.00003024464,0.0001031582,0.000164855,0.000008313984,0.00008754481,0.0005468504,0.0001001067,0.0001415381,0.06083868,0.8597872,0.07817988],"study_design_scores_gemma":[0.000004413556,0.00001087388,0.0001125355,0.0003209538,0.000006458451,0.00009125033,0.0004411246,0.00007205826,0.0001310269,0.03892073,0.9598753,0.00001332181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0007952063,0.01533505,0.01725416,0.5140616,0.04295377,0.000285558,0.0004668916,0.001202127,0.4076456],"genre_scores_gemma":[0.0185793,0.0158482,0.02173069,0.189531,0.014588,0.0004157513,0.0004691342,0.001255243,0.7375827],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1152378,"threshold_uncertainty_score":0.3855087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2250227788281736,"score_gpt":0.4473584159007144,"score_spread":0.2223356370725408,"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."}}