{"id":"W6942022627","doi":"10.1371/journal.pone.0180086.g002","title":"Principal component analysis between lean and overweight Labrador Retriever dogs in postprandial urine.","year":2017,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Principal component analysis; Postprandial; Overweight; Linear discriminant analysis; Labrador Retriever; Separation (statistics)","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":[0.0006868195,0.0005957465,0.0005217944,0.0007771086,0.0002297053,0.0006498375,0.000180006,0.0003247459,0.003843241],"category_scores_gemma":[0.0008897781,0.0001323508,0.0005824477,0.0009214428,0.0002367483,0.0002831643,0.0005117145,0.0004163538,0.001198977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002820464,"about_ca_system_score_gemma":0.0003348214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002963381,"about_ca_topic_score_gemma":0.005349268,"domain_scores_codex":[0.9997616,0.00002642576,0.00001567856,0.000121231,0.00004069507,0.00003432239],"domain_scores_gemma":[0.9997014,0.00006485104,0.00006295669,0.0000284194,0.00008893774,0.0000534362],"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":[0.01269802,0.000729928,0.3162012,0.001791304,0.002273114,0.0008205168,0.001371643,0.004180322,0.3559524,0.0008591918,0.02879776,0.2743246],"study_design_scores_gemma":[0.00005849742,0.0008814138,0.968688,0.00007074254,0.000462043,0.0004967598,0.0006704985,0.006761441,0.01165134,0.0004535736,0.009723331,0.00008240063],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9623075,0.001776123,0.01036143,0.0002124597,0.000145363,0.0001139017,0.0224026,0.0006285321,0.002052097],"genre_scores_gemma":[0.9520463,0.0007283868,0.01627202,0.0001474665,0.00004877066,0.000195843,0.02662396,0.0002419875,0.003695279],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003843241,"threshold_uncertainty_score":0.01285696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02411988149252711,"score_gpt":0.2381341886779695,"score_spread":0.2140143071854424,"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."}}