{"id":"W6948438463","doi":"10.5061/dryad.mf0ns","title":"Data from: A novel integrative method for measuring body condition in ecological studies based on physiological dysregulation","year":2013,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université de Sherbrooke","funders":"","keywords":"Mahalanobis distance; Confusion; Set (abstract data type); Univariate; Measure (data warehouse); Quality (philosophy); Organism","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":[0.005192557,0.001180637,0.001193312,0.005661835,0.0007609853,0.002639767,0.001133247,0.001378453,0.005189238],"category_scores_gemma":[0.01847641,0.0004106972,0.001077203,0.004733427,0.0006972918,0.002105867,0.003005553,0.001279819,0.001774301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004857046,"about_ca_system_score_gemma":0.0008920489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001338943,"about_ca_topic_score_gemma":0.001786291,"domain_scores_codex":[0.9962386,0.001306285,0.0005352041,0.0009704891,0.0007967141,0.0001526283],"domain_scores_gemma":[0.9929475,0.002731134,0.001122088,0.001411522,0.001541452,0.0002463089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002334662,0.0005637032,0.1394428,0.002974744,0.001792518,0.001041098,0.002865009,0.006859614,0.06836347,0.01812232,0.02781629,0.7278238],"study_design_scores_gemma":[0.0004950679,0.002138831,0.4608373,0.001197163,0.001849606,0.004726343,0.003606332,0.1555646,0.05018657,0.1081053,0.2101068,0.00118613],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.1125411,0.002028545,0.8409104,0.001159448,0.0007342496,0.001922685,0.02519258,0.005953043,0.009557954],"genre_scores_gemma":[0.297228,0.0006555624,0.6781478,0.0008806144,0.000491834,0.004072794,0.01493358,0.00101213,0.002577749],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.005661835,"threshold_uncertainty_score":0.02746123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1584970280517412,"score_gpt":0.3871952521227324,"score_spread":0.2286982240709912,"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."}}