{"id":"W4413095104","doi":"10.5038/2074-1235.49.1.1397","title":"Trends in Radar Counts of Marbled Murrelets &lt;i&gt;Brachyramphus marmoratus&lt;/i&gt; in British Columbia (1996-2018): Effects of 'The Blob' Marine Heatwave and Prey Fish Abundance","year":2021,"lang":"en","type":"article","venue":"Marine ornithology","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Seabird; Fishery; Geography; Abundance (ecology); Predation; Oceanography; Ecology; Biology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000265735,0.0001802792,0.0001804792,0.000784992,0.0004832547,0.0006042939,0.000581,0.000285732,0.001240188],"category_scores_gemma":[0.001287036,0.0002368684,0.000139157,0.001182432,0.0004253306,0.0002567564,0.0004452802,0.0005038669,0.0002771882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002768183,"about_ca_system_score_gemma":0.001089025,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8420537,"about_ca_topic_score_gemma":0.9414566,"domain_scores_codex":[0.9997593,0.00002287222,0.00001873736,0.0000734382,0.00005840548,0.00006734814],"domain_scores_gemma":[0.9986527,0.0001233529,0.0004639745,0.00006721954,0.0004241435,0.0002685839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005332311,0.00001238128,0.9958984,0.00001131431,0.00002881157,0.00004509775,0.0004040603,0.0001308629,0.000461164,0.00001039558,0.0003803508,0.002563878],"study_design_scores_gemma":[9.577205e-7,0.000006410994,0.9993685,0.000004616429,0.00000546097,0.00002002869,0.0003100447,0.0001031666,0.00002922187,0.000001753178,0.0001480087,0.000001997758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985231,0.00006198917,0.00002443243,0.00003323875,0.000001838171,0.00000276147,0.001037645,0.000005022308,0.0003100789],"genre_scores_gemma":[0.9978082,0.00009855533,0.00007159884,0.00001996194,0.000002336544,0.000008760514,0.001427177,0.000002670372,0.000560859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1579463,"threshold_uncertainty_score":0.3177529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004401571093113785,"score_gpt":0.1990064954814272,"score_spread":0.1946049243883134,"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."}}