{"id":"W4417075689","doi":"10.15173/cjsc.v1i1.3935","title":"Biologging","year":2025,"lang":"","type":"article","venue":"The Canadian Journal of Science Communication","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Context (archaeology); Field (mathematics); Function (biology); Field research","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":[0.001333956,0.0007652022,0.0003421714,0.001763565,0.001779665,0.002590323,0.001240249,0.001177436,0.289717],"category_scores_gemma":[0.002618815,0.0003458182,0.0003298089,0.001994713,0.0007945304,0.001810899,0.002455225,0.001574788,0.08843084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825969,"about_ca_system_score_gemma":0.002803933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01060632,"about_ca_topic_score_gemma":0.04096605,"domain_scores_codex":[0.9991966,0.0001393327,0.00004387536,0.0001897656,0.0003335649,0.00009693238],"domain_scores_gemma":[0.9980834,0.0003465431,0.0001050532,0.0003867977,0.000480943,0.0005973617],"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":[0.000162699,0.00005530488,0.002537659,0.0002868346,0.00000660355,0.0002199582,0.001491105,0.00008589854,0.003315984,0.01706672,0.6095118,0.3652595],"study_design_scores_gemma":[0.000003334227,0.000009926188,0.0009255441,0.00002379922,0.000001051456,0.00006701886,0.00009385668,0.00002278111,0.0001571219,0.0003315237,0.9983594,0.000004586119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007888305,0.005672942,0.02132407,0.008514471,0.006594015,0.0004780526,0.01191098,0.01002275,0.9275945],"genre_scores_gemma":[0.02417891,0.004192958,0.02408622,0.003672404,0.001327293,0.0003228643,0.007504576,0.001811737,0.9329031],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.289717,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874187244177923,"score_gpt":0.2614201919592476,"score_spread":0.2326783195174684,"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."}}