{"id":"W4392701777","doi":"10.1080/02724634.2024.2311791","title":"A combined approach to identify isolated theropod teeth from the Cenomanian Kem Kem Group of Morocco: cladistic, discriminant, and machine learning analyses","year":2023,"lang":"en","type":"article","venue":"Journal of Vertebrate Paleontology","topic":"Paleontology and Evolutionary Biology","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Tyrrell Museum","funders":"","keywords":"Cladistics; Phylogenetic tree; Biology; Group (periodic table); Phylogenetic nomenclature; Evolutionary biology; Zoology; Chemistry; Clade","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":[0.001542488,0.0006727307,0.0004903026,0.007235798,0.001206439,0.0008211734,0.0004804042,0.0003949081,0.0007784382],"category_scores_gemma":[0.002156048,0.0001660641,0.0003755011,0.002386605,0.0005258028,0.0003014495,0.001083144,0.0003081253,0.0003252562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006353253,"about_ca_system_score_gemma":0.0005601122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009750458,"about_ca_topic_score_gemma":0.0362621,"domain_scores_codex":[0.9993956,0.0001499735,0.00007082059,0.0001575055,0.0001415394,0.00008463328],"domain_scores_gemma":[0.9985394,0.0004451416,0.0002981864,0.0001573901,0.0004303741,0.0001293811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000359664,0.0001363007,0.8006461,0.0001977219,0.000269409,0.0004256558,0.001808902,0.003273153,0.05515635,0.0003254401,0.0003612535,0.1370401],"study_design_scores_gemma":[0.00001580579,0.0001463745,0.9663388,0.00004750906,0.0001662073,0.0004464449,0.001335244,0.02559354,0.004272484,0.0003031424,0.00129721,0.00003719142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953623,0.0002952098,0.003160534,0.00002611682,0.000005483285,0.00002992538,0.0003221908,0.00002426347,0.0007740227],"genre_scores_gemma":[0.9907722,0.00007289739,0.008514034,0.00001036443,0.00000746257,0.00002460373,0.0003801376,0.000007655834,0.0002106023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009750458,"threshold_uncertainty_score":0.01938742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05278994181674734,"score_gpt":0.2869299452571295,"score_spread":0.2341400034403822,"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."}}