{"id":"W3192274046","doi":"10.5066/p9zgnrtb","title":"Habitat Selection Scenarios for Molting Waterfowl in the Goose Molting Area of the Teshekpuk Lake Special Area, for NPR-A Integrated Activity Plan/Environmental Impact Statement, 2020","year":2020,"lang":"en","type":"article","venue":"USGS DOI Tool Production Environment","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waterfowl; Shapefile; Goose; Geography; Fishery; Habitat; Shore; Polygon (computer graphics); Occupancy; Population; Ecology; Cartography; Environmental science; Engineering; Biology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007703371,0.0004870486,0.0003799426,0.00001578101,0.0004536794,0.00004891007,0.0004765205,0.0001425809,0.001148659],"category_scores_gemma":[0.0001262994,0.0003292064,0.0003019029,0.0002588809,0.0004006381,0.0004393573,0.0002798011,0.0004163212,0.00003520508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139997,"about_ca_system_score_gemma":0.00001957424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001075118,"about_ca_topic_score_gemma":0.0001734218,"domain_scores_codex":[0.9968861,0.0001813051,0.0007060391,0.00094245,0.0006424533,0.0006416892],"domain_scores_gemma":[0.9988276,0.0001088381,0.0005076319,0.0004400666,0.000003740239,0.0001121739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005966382,0.0006387434,0.2764733,0.00003952106,0.00006978946,0.000001674697,0.002343726,0.637215,0.0668832,0.000001877919,0.002794211,0.01294233],"study_design_scores_gemma":[0.00392328,0.001965713,0.5369468,0.00008267798,0.000324646,0.00005551133,0.00437034,0.38713,0.0198303,0.0003081681,0.04355639,0.001506099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769512,0.00001912174,0.01751612,0.001834518,0.000255287,0.003169715,0.0001428699,0.0000314638,0.00007966028],"genre_scores_gemma":[0.9925615,0.00005953732,0.005705591,0.000267034,0.0004233439,0.0003901749,0.0001150045,0.00006131913,0.0004165015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2604736,"threshold_uncertainty_score":0.999916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622377866527768,"score_gpt":0.2153319218962619,"score_spread":0.1991081432309842,"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."}}