{"id":"W1568058151","doi":"10.1002/0471220418.app0b","title":"Appendix B: Exercises","year":2000,"lang":"en","type":"other","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Appendix; Variety (cybernetics); Computer science; Calculus (dental); Mathematics; Artificial intelligence; Medicine; Geology; Orthodontics; Paleontology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001851568,0.0009203816,0.0006872343,0.00202119,0.0008672547,0.002592174,0.00131478,0.001424442,0.6540232],"category_scores_gemma":[0.01990513,0.0005132126,0.0004219104,0.002605979,0.0004454967,0.002585829,0.001333789,0.001753048,0.3301511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176087,"about_ca_system_score_gemma":0.001932758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004312865,"about_ca_topic_score_gemma":0.003878859,"domain_scores_codex":[0.9988895,0.0003295001,0.0001008144,0.0001416446,0.0004667646,0.00007178658],"domain_scores_gemma":[0.9896706,0.006123855,0.0003654437,0.0006137135,0.002958009,0.0002683016],"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":[0.00004535483,0.00008477019,0.0002175189,0.0001978333,0.000002304374,0.00003291365,0.00006382194,0.0007084662,0.0000616635,0.01392256,0.9398575,0.04480525],"study_design_scores_gemma":[0.00005296744,0.00001947675,0.0006455666,0.0002863122,0.000004080778,0.00005900537,0.0001188606,0.0006408954,0.0001449546,0.02121829,0.9767947,0.00001493356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002546481,0.001081129,0.03011195,0.006522834,0.00164326,0.002288052,0.1358901,0.00509584,0.8148204],"genre_scores_gemma":[0.03158822,0.002758948,0.07582913,0.004941276,0.0009372263,0.007081721,0.1467252,0.003561903,0.7265763],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3459768,"threshold_uncertainty_score":0.4934939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03120846826150288,"score_gpt":0.1969771947987984,"score_spread":0.1657687265372955,"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."}}