{"id":"W6931347230","doi":"10.5281/zenodo.3703489","title":"Asterolepis alticristata Downs & Daeschler & Lo & Carey & Shubin 2019, n. sp.","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dorsum; Crest; Dorsolateral; Dorsal fin","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002066876,0.0006595093,0.0003676363,0.001743053,0.002670963,0.0004751638,0.0005400301,0.0008438452,0.02170656],"category_scores_gemma":[0.0005458502,0.0003244526,0.0001993513,0.0008352323,0.0010088,0.001438909,0.0009583402,0.0008106947,0.00958692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009326831,"about_ca_system_score_gemma":0.0006559473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01255599,"about_ca_topic_score_gemma":0.03031845,"domain_scores_codex":[0.9998172,0.0000171087,0.00001719117,0.00007260219,0.00006095815,0.0000150898],"domain_scores_gemma":[0.9997872,0.00002732734,0.00008027317,0.0000296632,0.00005837047,0.00001715771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000548833,0.0001237864,0.03972799,0.001311477,0.0001085842,0.002880237,0.003184305,0.001807361,0.02192261,0.009761062,0.07738928,0.8412344],"study_design_scores_gemma":[0.0001130546,0.000273536,0.260227,0.001186672,0.0001672348,0.009724103,0.003069891,0.001034502,0.003508632,0.003907785,0.7167425,0.00004517154],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2214044,0.01415698,0.01254188,0.001690977,0.001267216,0.001221362,0.00987032,0.001143064,0.7367038],"genre_scores_gemma":[0.8900762,0.00471156,0.006805342,0.00104195,0.0003572879,0.0003305233,0.003825138,0.0001109166,0.09274115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02170656,"threshold_uncertainty_score":0.07261562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02055592701902488,"score_gpt":0.2454668381565246,"score_spread":0.2249109111374997,"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."}}