{"id":"W4389192069","doi":"10.22215/etd/2023-15692","title":"Developing a Biomarker to Cold Shock in the Yellow Perch, Perca flavescens","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; CANDU Owners Group; Genome Canada","keywords":"Perch; Shock (circulatory); Fish <Actinopterygii>; Cold-shock domain; Biomarker; Biology; Stressor; Cold stress; Zoology; Fishery; Gene; Genetics; Medicine; Internal medicine; Neuroscience","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":[0.0001777243,0.0002125316,0.0002034219,0.00034206,0.0002204808,0.0004282207,0.00009549665,0.0002916955,0.0007234808],"category_scores_gemma":[0.0001791048,0.0001101946,0.0002132091,0.0002526307,0.000191324,0.0002136244,0.0003254939,0.0003527864,0.0002186724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002310093,"about_ca_system_score_gemma":0.0002334023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147675,"about_ca_topic_score_gemma":0.00285562,"domain_scores_codex":[0.9999245,0.000006558399,0.000004515623,0.0000272902,0.00002376941,0.00001331407],"domain_scores_gemma":[0.9998865,0.0000132843,0.00004051805,0.000004832089,0.00004014718,0.00001463997],"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":[0.0001445564,0.00005647603,0.05539243,0.0001840898,0.00002401323,0.00009003963,0.000328512,0.0001187214,0.9266254,0.00006040243,0.0001800574,0.01679527],"study_design_scores_gemma":[0.000008927424,0.001482633,0.7876146,0.00008938435,0.000110139,0.0003929813,0.002413043,0.0006630892,0.2018685,0.000148137,0.005185674,0.00002296083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959853,0.001129183,0.00135048,0.0001164698,0.00001969187,0.00002838936,0.0003078078,0.00001138186,0.001051183],"genre_scores_gemma":[0.9833086,0.002498983,0.005881531,0.0002946943,0.00001921608,0.0001172129,0.0008920759,0.00001187248,0.006975691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001147675,"threshold_uncertainty_score":0.002420306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04717642403819976,"score_gpt":0.2893026615547803,"score_spread":0.2421262375165806,"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."}}