{"id":"W6967295785","doi":"10.5066/p9svv311","title":"Whooping crane migration habitat selection data and distance to wind-energy infrastructure, 2010-2016","year":2020,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Habitat; Selection (genetic algorithm); Grus (genus); Aerial survey; Sample (material); Satellite tracking; Whooping cough","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006319679,0.0008235376,0.0005834286,0.002747613,0.0004259471,0.0009739905,0.001137726,0.0004570218,0.02244472],"category_scores_gemma":[0.003255052,0.0004268926,0.0004600451,0.005304612,0.0002048402,0.000573732,0.001131947,0.0007206842,0.01250169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001323091,"about_ca_system_score_gemma":0.001939522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2012868,"about_ca_topic_score_gemma":0.2508409,"domain_scores_codex":[0.99963,0.00004431483,0.00006085386,0.00008682011,0.0001020804,0.00007586991],"domain_scores_gemma":[0.998792,0.0002177737,0.0002565179,0.0001724076,0.00045254,0.0001088269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001282724,0.00004707111,0.04172935,0.00120801,0.0001016218,0.00008869667,0.0002566548,0.001405521,0.0003004303,0.001104644,0.9453012,0.008328537],"study_design_scores_gemma":[0.0002131271,0.00003800855,0.202217,0.0008568747,0.00007557289,0.0001156931,0.0009055694,0.001311484,0.0006932059,0.000662753,0.7928505,0.00006022318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001495946,0.00003323692,0.0000444746,0.00002523367,0.000008196126,0.000009557181,0.9976951,0.00004618152,0.0006419972],"genre_scores_gemma":[0.003956578,0.00006917664,0.0003535737,0.00002192622,0.000004582706,0.0001176994,0.9942694,0.00002490917,0.001182153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2012868,"threshold_uncertainty_score":0.4002305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381303460604058,"score_gpt":0.2232026805764067,"score_spread":0.2093896459703661,"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."}}