{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002729125,0.0001457192,0.0004478405,0.00006177503,0.00005787743,0.00001757283,0.0002327958,0.0002369291,0.004732895],"category_scores_gemma":[0.0001296294,0.0001862276,0.00006051416,0.0005608667,0.0006545233,0.00007746441,0.0008243332,0.0002742834,0.00002281706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001122702,"about_ca_system_score_gemma":0.00003408592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007670395,"about_ca_topic_score_gemma":0.2966312,"domain_scores_codex":[0.9983333,0.0003040713,0.0003958478,0.000438592,0.0001639447,0.0003642482],"domain_scores_gemma":[0.9992667,0.000145666,0.0001565841,0.0003527046,0.00001641767,0.00006186901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002815044,0.0003325759,0.9470422,0.00004556541,0.000008858916,0.0005071624,0.00003631559,0.000003212941,0.004555962,0.000004707071,0.002488101,0.04494715],"study_design_scores_gemma":[0.001336745,0.0001348641,0.9935602,0.00003606693,0.00003264787,0.0003578762,0.000004590727,0.00001203281,0.0006598664,0.0001859414,0.003517143,0.0001620022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908222,0.00008664672,0.000002078976,0.0001477666,0.0003064347,0.0002281034,0.00002906652,0.00001309728,0.008364625],"genre_scores_gemma":[0.9843192,0.00009262183,0.0005315452,0.0002110309,0.00001632516,0.00003563758,0.00004016915,0.00001982719,0.01473367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2958642,"threshold_uncertainty_score":0.9961769,"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."}}