{"id":"W6925173897","doi":"10.15468/dl.yaqyuk","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Apidae; Synapomorphy; Matching (statistics)","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":["insufficient_payload"],"category_scores_codex":[0.002768204,0.0004499957,0.0006454774,0.0003885564,0.0003714026,0.001019065,0.002604917,0.0006378702,0.007569063],"category_scores_gemma":[0.004293438,0.0003875348,0.0003936092,0.001231337,0.0003527223,0.002103066,0.0009978688,0.0006085004,0.7037424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000355701,"about_ca_system_score_gemma":0.0004708811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002346536,"about_ca_topic_score_gemma":0.00001027993,"domain_scores_codex":[0.9944358,0.0002895073,0.001245534,0.0006132232,0.002899593,0.0005163025],"domain_scores_gemma":[0.9956241,0.0003587576,0.001084132,0.001718264,0.0009421817,0.0002725896],"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":[0.0000620959,0.00002172766,0.002994637,0.00004709722,0.00002484364,0.000002496446,0.00009029818,0.0001014013,4.707109e-8,1.212282e-7,0.9918199,0.004835343],"study_design_scores_gemma":[0.0003969952,0.00004221685,0.0001280045,0.000003562911,0.00003464515,0.00001202354,0.0006574875,0.000002196117,0.000002307949,0.000006212195,0.9983135,0.0004008471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001194997,0.00001921815,0.00004288513,0.0002628683,0.001272969,0.0005843096,0.9958027,0.00007396585,0.000746085],"genre_scores_gemma":[0.00005999034,0.00001867098,0.000008618518,0.0007328384,0.00000321465,0.00000285484,0.9991729,1.994947e-8,9.08682e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6961734,"threshold_uncertainty_score":0.9998577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07232802384225913,"score_gpt":0.3153441474305153,"score_spread":0.2430161235882561,"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."}}