{"id":"W4394301181","doi":"10.6084/m9.figshare.19602454","title":"Additional file 5 of Early cephalopod evolution clarified through Bayesian phylogenetic inference","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cephalopods and Marine Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cephalopod; Bayesian inference; Phylogenetic tree; Inference; Bayesian probability; Computer science; Evolutionary biology; Biology; Artificial intelligence; Fishery; Genetics; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001403987,0.001678248,0.001548693,0.003572958,0.001323029,0.002439537,0.002811789,0.001779259,0.6814871],"category_scores_gemma":[0.01051672,0.0008242732,0.00128368,0.00604721,0.0005071756,0.001971592,0.001759676,0.001805389,0.2155401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312464,"about_ca_system_score_gemma":0.002066631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01331857,"about_ca_topic_score_gemma":0.02659569,"domain_scores_codex":[0.9991535,0.0001104636,0.0001053741,0.0003078463,0.0001509562,0.0001719125],"domain_scores_gemma":[0.993948,0.003605659,0.0004229726,0.0006967371,0.001017848,0.0003087942],"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":[0.0001127156,0.00003892287,0.002205686,0.001517324,0.00005742615,0.00004164956,0.00005562145,0.0004340785,0.0002477983,0.0008402886,0.9911419,0.003306602],"study_design_scores_gemma":[0.0009145704,0.00005115933,0.01520396,0.001101951,0.0001175278,0.0001750032,0.0002070015,0.0006856176,0.0006783342,0.005054219,0.975742,0.00006857244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005717433,0.00001009752,0.00007573501,0.00001588657,0.000007270806,0.00000757919,0.9994268,0.0001155134,0.0002839393],"genre_scores_gemma":[0.0009711467,0.00003252396,0.0008058032,0.00008405844,0.00001082504,0.0001514446,0.9963956,0.000276941,0.001271601],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6814871,"threshold_uncertainty_score":0.4543199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753066282954182,"score_gpt":0.2345216154063759,"score_spread":0.2069909525768341,"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."}}