{"id":"W4387579565","doi":"10.1111/cla.12563","title":"Toward transparent taxonomy: an interactive web‐tool for evaluating competing taxonomic arrangements","year":2023,"lang":"en","type":"article","venue":"Cladistics","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Taxonomy (biology); Taxon; Taxonomic rank; Prioritization; Biological classification; Ranking (information retrieval); Biodiversity; Data science; Biology; Computer science; Ecology; Information retrieval; Management science; Evolutionary biology","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000327393,0.0001480406,0.0001589471,0.0000296953,0.0001996432,0.0000609687,0.0002204264,0.00004734712,0.01127204],"category_scores_gemma":[0.0001347062,0.0001540552,0.00007421504,0.0001664589,0.0000952644,0.000132523,0.00008527442,0.00008870029,0.001452514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006679124,"about_ca_system_score_gemma":0.00001465621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001937656,"about_ca_topic_score_gemma":0.00009903208,"domain_scores_codex":[0.9988356,0.00004478067,0.0002540311,0.0003222483,0.0001836399,0.0003596504],"domain_scores_gemma":[0.9994599,0.0001245599,0.0001058473,0.000187618,0.0000195204,0.0001025837],"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":[0.001514477,0.00227174,0.2579873,0.0008587101,0.0005040795,0.0000805895,0.01268945,0.01995223,0.1206052,0.01166442,0.3861625,0.1857093],"study_design_scores_gemma":[0.003653976,0.0007183666,0.1854149,0.00008921111,0.0001924111,0.000006456669,0.02218624,0.273967,0.00182741,0.0005684497,0.5102083,0.001167321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673581,0.000009040383,0.01296683,0.0003573753,0.0007413796,0.001114804,0.001065178,0.0002514073,0.01613591],"genre_scores_gemma":[0.997256,0.00001399287,0.001060838,0.0001769687,0.00007662875,0.0003963352,0.0007204181,0.0000205071,0.0002783137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2540148,"threshold_uncertainty_score":0.999325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2508573661796832,"score_gpt":0.3559365289814691,"score_spread":0.1050791628017859,"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."}}