{"id":"W4391680080","doi":"10.54103/2039-4942/19954","title":"RECONSTRUCTION OF THE MULTIELEMENT APPARATUS OF THE CONODONT &lt;em&gt;GLADIGONDOLELLA TETHYDIS&lt;/em&gt; (HUCKRIEDE) USING MULTIVARIATE STATISTICAL ANALYSIS; IMPLICATIONS FOR TAXONOMY, STRATIGRAPHY, AND EVOLUTION","year":2024,"lang":"en","type":"article","venue":"RIVISTA ITALIANA DI PALEONTOLOGIA E STRATIGRAFIA","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Conodont; Taxonomy (biology); Paleontology; Stratigraphy; Multivariate statistics; Geology; Statistical analysis; Biology; Biostratigraphy; Zoology; Statistics; Mathematics; Tectonics","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":[0.0003316778,0.0002262093,0.0002314248,0.002939785,0.0004778955,0.000837435,0.000318237,0.0001873467,0.001363463],"category_scores_gemma":[0.0009237931,0.0001983426,0.000311526,0.002191042,0.0006648784,0.0004426006,0.0008636066,0.0003364444,0.0003662458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000456868,"about_ca_system_score_gemma":0.000413194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005031079,"about_ca_topic_score_gemma":0.008354542,"domain_scores_codex":[0.9997879,0.00003941862,0.00002107839,0.00008369918,0.00004131131,0.00002661196],"domain_scores_gemma":[0.9995321,0.0001061043,0.0001749759,0.00007404479,0.00006960497,0.00004329668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003716064,0.00007881508,0.6522465,0.0001786271,0.0001235351,0.0006186971,0.001787268,0.01048095,0.09501092,0.003680686,0.0006986449,0.2347238],"study_design_scores_gemma":[0.000005705972,0.00005655742,0.9797743,0.00001637451,0.00002602325,0.0004059382,0.0006749818,0.01393419,0.002071057,0.0006685179,0.002345496,0.00002072445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898368,0.0001176965,0.007514587,0.00003055238,0.000003509814,0.00001348831,0.000425216,0.00007134246,0.001986897],"genre_scores_gemma":[0.9903515,0.00004951149,0.008788896,0.000006343657,0.000002881874,0.00001187839,0.0005428024,0.00002309831,0.0002231216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005031079,"threshold_uncertainty_score":0.01000357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03012252230568381,"score_gpt":0.2892336243851305,"score_spread":0.2591111020794467,"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."}}