{"id":"W2775203483","doi":"10.1016/j.bsbt.2017.11.004","title":"Tooth microwear texture in odontocete whales: variation with tooth characteristics and implications for dietary analysis","year":2017,"lang":"en","type":"article","venue":"Biosurface and Biotribology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Natural Environment Research Council","keywords":"Beluga Whale; Beluga; Tooth wear; Cementum; Texture (cosmology); Ecosystem; Biology; Orthodontics; Ecology; Dentistry; Arctic; Dentin; Medicine; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0005429563,0.0002222131,0.0001811897,0.00110745,0.0003131922,0.0004538837,0.0001793617,0.0002323543,0.0007227148],"category_scores_gemma":[0.001261535,0.0001323732,0.0001906404,0.0009128433,0.0004157916,0.0003255333,0.0003949544,0.0002008587,0.0001096032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370399,"about_ca_system_score_gemma":0.0000968959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006568751,"about_ca_topic_score_gemma":0.01909502,"domain_scores_codex":[0.9997311,0.00007195856,0.00001860427,0.00009918006,0.00005298084,0.00002604924],"domain_scores_gemma":[0.9993342,0.0001733379,0.0001961305,0.00007282696,0.0001710795,0.00005250875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008520053,0.00002948205,0.9522319,0.0000754298,0.00016115,0.00009956592,0.001543117,0.00008849321,0.01959589,0.0001055389,0.0001449952,0.02583923],"study_design_scores_gemma":[2.242164e-7,0.00002028791,0.9988216,0.000006582189,0.00001024567,0.00004645066,0.0005127575,0.00005453665,0.0002931827,0.00004057205,0.0001910839,0.000002518003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981678,0.0005837656,0.0006126682,0.00003225071,0.000005678539,0.000004097242,0.0001115369,0.00000470851,0.0004775284],"genre_scores_gemma":[0.9983686,0.0003196522,0.0008467953,0.00002559766,0.000007483008,0.000007575332,0.0001147472,0.000006483691,0.0003031236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006568751,"threshold_uncertainty_score":0.01306105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129985406067899,"score_gpt":0.262072664479071,"score_spread":0.240772810418392,"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."}}