{"id":"W2900686579","doi":"10.1038/s41598-018-35347-x","title":"Bone histology provides insights into the life history mechanisms underlying dwarfing in hipparionins","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Caveolin-1 and cellular processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Aristotle University of Thessaloniki; Universität Hamburg; Université de Montréal; Agència de Gestió d'Ajuts Universitaris i de Recerca; Universidad de Granada; Ministerio de Economía y Competitividad; Generalitat de Catalunya; Centres de Recerca de Catalunya","keywords":"Dwarfing; Histology; Life history; Biology; Computer science; Bioinformatics; Ecology; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001675653,0.0001625439,0.0001340957,0.0007005899,0.000187587,0.0002475098,0.0001771827,0.000286363,0.001041893],"category_scores_gemma":[0.0003077844,0.0001497628,0.0001610997,0.0002468793,0.0004794603,0.0002660811,0.0002387119,0.0001930186,0.0001592528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002056388,"about_ca_system_score_gemma":0.0001556148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003912965,"about_ca_topic_score_gemma":0.01214004,"domain_scores_codex":[0.9999359,0.000006640783,0.000004460495,0.00002520799,0.00001423855,0.0000136318],"domain_scores_gemma":[0.9997827,0.00004130093,0.000090097,0.00002418196,0.0000341526,0.00002743721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000135943,0.00001296774,0.2663159,0.0001306985,0.00007475559,0.0008507111,0.0005446277,0.0009229517,0.7142631,0.0007608657,0.0001079846,0.01587947],"study_design_scores_gemma":[0.000001953277,0.00002839031,0.9908401,0.000008202902,0.00001688699,0.0007797314,0.0001800334,0.0005427574,0.006578329,0.0003029068,0.0007134272,0.000007265303],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961985,0.000618292,0.001635052,0.00002849521,0.000003295658,0.00000351141,0.0002612795,0.00002124908,0.001230341],"genre_scores_gemma":[0.9976656,0.000260583,0.00122731,0.00001488169,0.000003768336,0.000002836752,0.0001365776,0.00001200843,0.0006763559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003912965,"threshold_uncertainty_score":0.007780373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297492143487014,"score_gpt":0.2446898854685183,"score_spread":0.2217149640336482,"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."}}