{"id":"W2204199627","doi":"10.1371/journal.pone.0060149.g002","title":"Pedigree of 33 Labrador Retrievers with mild disproportionate dwarfism.","year":2015,"lang":"en","type":"paratext","venue":"Figshare","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dwarfism; Biology; Genetics; Gene","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":[0.0001734212,0.0003914825,0.0003381282,0.002085851,0.000874556,0.000314533,0.0002919303,0.0004823336,0.02824249],"category_scores_gemma":[0.00044442,0.0003233613,0.0002555938,0.001235579,0.0002213799,0.00027594,0.0003139015,0.0002483089,0.004198558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003980871,"about_ca_system_score_gemma":0.0002126206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02888372,"about_ca_topic_score_gemma":0.04198865,"domain_scores_codex":[0.9998702,0.00001792277,0.00001494064,0.00004985749,0.00002251662,0.00002462924],"domain_scores_gemma":[0.9997928,0.00004661615,0.00004387806,0.0000203295,0.00003051004,0.00006592086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002475672,0.00100709,0.5770148,0.000584345,0.0003652334,0.1502158,0.008501598,0.001379501,0.03178125,0.002682613,0.09968191,0.1243102],"study_design_scores_gemma":[0.0001080418,0.0005697614,0.8764633,0.0002415141,0.0001418027,0.07468405,0.001700516,0.0004984047,0.001208686,0.0004428794,0.04386985,0.00007113848],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9381431,0.001117873,0.001910604,0.000497227,0.00009802424,0.000226742,0.03614276,0.0002861669,0.02157754],"genre_scores_gemma":[0.9521358,0.001421589,0.002425825,0.0002888489,0.0000975777,0.0001004643,0.02185577,0.0001143574,0.02155973],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02888372,"threshold_uncertainty_score":0.09448057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09959210119305781,"score_gpt":0.3846560403048798,"score_spread":0.285063939111822,"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."}}