{"id":"W3156779366","doi":"10.1002/eco.2295","title":"An ecohydrological typology for thermal refuges in streams and rivers","year":2021,"lang":"en","type":"article","venue":"Ecohydrology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Typology; Conceptualization; Ambiguity; STREAMS; Environmental resource management; Environmental science; Ecology; Computer science; Geography; Biology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002035628,0.0001037967,0.0001943505,0.00003644229,0.0001124787,0.000005307826,0.0001193597,0.0001573198,0.001908246],"category_scores_gemma":[0.00004987384,0.00009708095,0.00002407217,0.00008547487,0.0003754908,0.0001004846,0.0002172346,0.00009340687,0.00007275403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003105215,"about_ca_system_score_gemma":0.000004546909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002815955,"about_ca_topic_score_gemma":0.005986253,"domain_scores_codex":[0.998975,0.0001089573,0.0001370967,0.000408425,0.00003572141,0.0003348222],"domain_scores_gemma":[0.9996513,0.0001089007,0.00003690054,0.0001533449,0.000003495974,0.00004602438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001269646,0.0002685902,0.9790125,0.000007459015,0.0000459693,0.0001578979,0.0003244837,0.004347256,0.004749121,0.00511473,0.001848406,0.003996636],"study_design_scores_gemma":[0.00168406,0.0008032141,0.9462639,0.000001450671,0.0000371595,0.00003913323,0.00009173639,0.01006211,0.0005565343,0.01585558,0.02431654,0.0002885752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866313,0.00002672443,0.00002654588,0.003178211,0.0001308061,0.0001426514,0.000004207248,0.00002749995,0.009832036],"genre_scores_gemma":[0.9955367,0.00005639956,0.001422402,0.002649176,0.00002680396,0.00005668803,0.00001572249,0.000006381293,0.0002297041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03274858,"threshold_uncertainty_score":0.9990041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00785881613124638,"score_gpt":0.2349246978931706,"score_spread":0.2270658817619242,"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."}}