{"id":"W4393418690","doi":"10.5281/zenodo.10327538","title":"Canis Familiaris (Dog) Skull","year":2016,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"dental development and anomalies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canis; Skull; Labrador Retriever; Geography; Zoology; Biology; Ecology; Anatomy; Medicine; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002376966,0.0002349008,0.0001668799,0.0001313134,0.0009351993,0.0003646209,0.001158781,0.0002265023,0.01123786],"category_scores_gemma":[0.0001858369,0.0002159977,0.00008121794,0.0001392324,0.0001622265,0.000009652702,0.001856532,0.0001841355,0.009787062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006140434,"about_ca_system_score_gemma":0.000009008028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002351911,"about_ca_topic_score_gemma":0.000001759646,"domain_scores_codex":[0.9984564,0.0001436842,0.0002268712,0.0005341665,0.000278237,0.000360632],"domain_scores_gemma":[0.9988937,0.000004494293,0.0001174724,0.0005916439,0.0002454129,0.000147232],"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":[0.00002775392,0.00004861259,9.105062e-7,0.00005159643,0.00006727869,0.00001343016,0.00001266448,2.303541e-7,0.007315459,0.0000278067,0.9828212,0.009613043],"study_design_scores_gemma":[0.0003079796,0.0001842692,0.0001279429,0.0000400614,0.00001775441,0.00005060695,0.00002359132,2.930536e-7,0.001454939,0.00002115869,0.997473,0.0002984102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006012676,0.0001868226,0.00006779551,0.000194536,0.0003306153,0.0002768876,0.9739914,0.0001159107,0.02423476],"genre_scores_gemma":[0.00104213,0.0009258965,0.00002843875,0.000237106,0.0004643644,6.868492e-8,0.9867397,0.0007659786,0.009796297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01465178,"threshold_uncertainty_score":0.9909839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601667379482356,"score_gpt":0.2380014604935836,"score_spread":0.22198478669876,"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."}}