{"id":"W2571694347","doi":"10.12705/656.32","title":"Report of the Special Committee on Publications Using a Largely Mechanical Method of Selection of Types (Art. 10.5(b)) (especially under the <i>American Code</i> )","year":2016,"lang":"en","type":"article","venue":"Taxon","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Cegep de Sainte Foy","funders":"","keywords":"Code (set theory); Selection (genetic algorithm); Mandate; Computer science; Statement (logic); Operations research; Law; Political science; Mathematics; Programming language; Artificial intelligence","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":[0.05216974,0.002088059,0.001760079,0.007976078,0.008414334,0.01887122,0.004528756,0.01210241,0.04802293],"category_scores_gemma":[0.0717753,0.001930591,0.003076187,0.004610152,0.004362453,0.00590061,0.005356598,0.01262518,0.060874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006183843,"about_ca_system_score_gemma":0.03588009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01705775,"about_ca_topic_score_gemma":0.01974541,"domain_scores_codex":[0.9394934,0.006185627,0.006167255,0.004033261,0.04038704,0.003733366],"domain_scores_gemma":[0.8389535,0.02097598,0.01273647,0.01776735,0.1018556,0.007710947],"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":[0.00004228561,0.0000851362,0.000481394,0.0002628744,0.00001379901,0.000109798,0.0001618474,0.0001202478,0.001692316,0.008129353,0.9596481,0.02925291],"study_design_scores_gemma":[0.0000105699,0.00003575337,0.00104811,0.0002555377,0.00001228716,0.00004248552,0.0001019451,0.00006491633,0.0006585299,0.0007528838,0.9969851,0.00003183743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006864968,0.01063779,0.0280672,0.1141295,0.3052611,0.01335612,0.008493822,0.003629842,0.5095597],"genre_scores_gemma":[0.01005093,0.006243491,0.02131876,0.04137744,0.03850054,0.007586172,0.006969158,0.002608484,0.865345],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05216974,"threshold_uncertainty_score":0.2759032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05135779408074106,"score_gpt":0.2894922007564627,"score_spread":0.2381344066757216,"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."}}