{"id":"W2581530067","doi":"10.1016/j.mex.2017.01.004","title":"Comparison of methanol and isopropanol as wash solvents for determination of hair cortisol concentration in grizzly bears and polar bears","year":2017,"lang":"en","type":"article","venue":"MethodsX","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre; Ministry of Natural Resources and Forestry; Saskatchewan Health Authority; Trent University; University of Calgary; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Solvent; Methanol; Chromatography; Chemistry; Polar; Hair growth; Biology; Biochemistry; Physiology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009816183,0.000673642,0.0002609205,0.000659449,0.0004715354,0.0004897495,0.0003375885,0.0003068065,0.001294342],"category_scores_gemma":[0.001341106,0.0002037904,0.0003499146,0.0002896978,0.0006029552,0.0003430087,0.0003550774,0.0003312016,0.0003581938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002412031,"about_ca_system_score_gemma":0.0004978134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001664093,"about_ca_topic_score_gemma":0.006550361,"domain_scores_codex":[0.9991195,0.0002580728,0.00006448634,0.0002136935,0.0002690582,0.00007523738],"domain_scores_gemma":[0.9993604,0.0001902118,0.0001489162,0.00005407982,0.0001948546,0.00005154259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001975018,0.0002361085,0.02920487,0.0006600309,0.0002572167,0.0002138085,0.0006778525,0.000240848,0.9413162,0.0001870842,0.0002431654,0.02478778],"study_design_scores_gemma":[0.0001073927,0.005617134,0.2363587,0.0001817714,0.0006814613,0.001453298,0.001414783,0.001221476,0.7439174,0.0002922254,0.008679328,0.00007503355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819718,0.003790079,0.01109785,0.0001563695,0.0001651641,0.0003575433,0.0003350141,0.00005852592,0.00206762],"genre_scores_gemma":[0.9361421,0.005674093,0.05217751,0.0004328668,0.0001696059,0.0006038056,0.001049418,0.00009732859,0.003653382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001664093,"threshold_uncertainty_score":0.005191326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1330521028304668,"score_gpt":0.4615725292125091,"score_spread":0.3285204263820423,"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."}}