{"id":"W6948412050","doi":"10.5061/dryad.1bt27","title":"Data from: Always chew your food: freshwater stingrays use mastication to process tough insect prey","year":2016,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Predation; Mastication; Insect; Crypsis; Generalist and specialist species","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":[0.001240965,0.0006787285,0.0006124837,0.001844513,0.0007087087,0.002540448,0.001090943,0.001259295,0.252469],"category_scores_gemma":[0.009997115,0.0004302904,0.0004140344,0.001952415,0.0004752054,0.00215611,0.00228436,0.0008571845,0.1601804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006933315,"about_ca_system_score_gemma":0.001595526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006167314,"about_ca_topic_score_gemma":0.008951697,"domain_scores_codex":[0.9991086,0.00008114881,0.0001737536,0.0002034125,0.000366301,0.00006679112],"domain_scores_gemma":[0.9945865,0.001024002,0.000544714,0.00151715,0.001868198,0.0004595093],"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":[0.0008088165,0.0001220677,0.01673106,0.002223948,0.00005561187,0.0003554687,0.0005430575,0.0004471866,0.008466218,0.00125274,0.814727,0.1542668],"study_design_scores_gemma":[0.0001230944,0.0001013783,0.07203782,0.0008635394,0.00006834319,0.0004343431,0.0004809517,0.003753691,0.009886465,0.001991043,0.9101028,0.0001565058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01705533,0.0004250008,0.009333095,0.003498759,0.001378328,0.0007729324,0.7664244,0.03518934,0.1659229],"genre_scores_gemma":[0.1367146,0.00135422,0.02353646,0.001819172,0.0004383375,0.001364419,0.6893644,0.008200899,0.1372076],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.252469,"threshold_uncertainty_score":0.8445929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045986522412834,"score_gpt":0.3167406556404881,"score_spread":0.2121420033992047,"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."}}