{"id":"W2004880138","doi":"10.14430/arctic4439","title":"How Arctic Marine Birds Help Researchers Study a Changing North","year":2014,"lang":"en","type":"article","venue":"ARCTIC","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Arctic; The arctic; Geography; Oceanography; Fishery; Physical geography; Biology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002002125,0.0001693687,0.0003303322,0.0002293495,0.004012068,0.00001933972,0.0002327835,0.00009226239,0.0004744245],"category_scores_gemma":[0.001179059,0.0001422195,0.00005884779,0.0004675123,0.00006531583,0.00007952172,0.0007970881,0.0007307904,0.0007477056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004386836,"about_ca_system_score_gemma":0.0001431102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01744507,"about_ca_topic_score_gemma":0.2739617,"domain_scores_codex":[0.9964693,0.0008140455,0.000264,0.0003479417,0.0002687249,0.001836],"domain_scores_gemma":[0.9982606,0.0006793991,0.0001196885,0.0004560422,0.0003195578,0.0001646752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004010998,0.0001740161,0.9520687,0.0002382465,0.00009218608,0.00001684768,0.04473148,0.00000395841,0.000004453043,0.0003380318,0.0003046369,0.001987346],"study_design_scores_gemma":[0.001557684,0.001274627,0.8514142,0.00005391186,0.00006273662,0.000004019302,0.1201923,0.0002474278,0.000001062375,0.0005890713,0.02434164,0.0002613514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853653,0.00003608125,0.00004336566,0.006371427,0.0009638268,0.001588777,0.000002232353,0.0001111224,0.005517835],"genre_scores_gemma":[0.9869286,0.0000401844,0.0001106552,0.001238345,0.0008131237,0.0003888634,0.000008583851,0.00004435617,0.01042723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2565166,"threshold_uncertainty_score":0.9972846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0894665032075399,"score_gpt":0.3885085168573401,"score_spread":0.2990420136498002,"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."}}