{"id":"W1984664655","doi":"10.3897/zookeys.192.3347","title":"Biological nomenclature terms for facilitating communication in the naming of organisms","year":2012,"lang":"en","type":"article","venue":"ZooKeys","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum","funders":"","keywords":"Nomenclature; Set (abstract data type); Organism; Computer science; Taxonomy (biology); Biology; Ecology; Programming language","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":[0.02979573,0.002043744,0.002377858,0.01823748,0.006408431,0.008661083,0.004346272,0.003390636,0.06832371],"category_scores_gemma":[0.09947359,0.001506683,0.001170386,0.02530594,0.005675669,0.01572007,0.00572315,0.01121671,0.06560475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005158539,"about_ca_system_score_gemma":0.01042694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005529388,"about_ca_topic_score_gemma":0.006928175,"domain_scores_codex":[0.9612538,0.01787247,0.0105057,0.001319729,0.007838079,0.00121022],"domain_scores_gemma":[0.9019289,0.03580007,0.01078731,0.0139726,0.03510446,0.002406622],"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":[0.0001805985,0.0001003732,0.0007752212,0.001639469,0.00002075706,0.0003224311,0.007570383,0.0008146631,0.006643953,0.2718858,0.6038907,0.1061557],"study_design_scores_gemma":[0.0000183868,0.00003482194,0.0004688632,0.0006023699,0.00001074156,0.0002580924,0.0008708533,0.000486754,0.0005734516,0.02324246,0.9733858,0.00004739588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005248874,0.00628676,0.6526788,0.02157477,0.03236607,0.006846253,0.02254139,0.01232629,0.2401309],"genre_scores_gemma":[0.0213607,0.006257027,0.8726835,0.006447577,0.005494394,0.0104705,0.02217182,0.007399261,0.04771526],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06832371,"threshold_uncertainty_score":0.2285656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05337920918223992,"score_gpt":0.2802594149397789,"score_spread":0.226880205757539,"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."}}