{"id":"W6887112046","doi":"10.15468/dl.nj3794","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Armadillo; Range (aeronautics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008689091,0.002026552,0.001568813,0.005179207,0.000926027,0.002503417,0.002640964,0.001838624,0.1653881],"category_scores_gemma":[0.005270018,0.0009213989,0.00113597,0.01025313,0.0004315373,0.00225936,0.002568884,0.001829508,0.2316079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001449536,"about_ca_system_score_gemma":0.002196737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01881678,"about_ca_topic_score_gemma":0.0330201,"domain_scores_codex":[0.9990028,0.0001298284,0.0001271183,0.0003563657,0.0002108619,0.0001730727],"domain_scores_gemma":[0.9977077,0.0005862203,0.0002321776,0.0006101357,0.0005884215,0.0002753924],"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":[0.00003377058,0.00001126825,0.0003901809,0.0005802158,0.00001459121,0.00001422198,0.0000223831,0.0001184335,0.0001382303,0.0003915642,0.9967389,0.00154641],"study_design_scores_gemma":[0.00006635422,0.000008468211,0.001734135,0.0001698078,0.00001319245,0.00003298431,0.00005883431,0.0001149234,0.0001759971,0.0007083467,0.9969001,0.0000169442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004213327,0.00002757384,0.00003809823,0.00002852615,0.00001141461,0.000004560593,0.9988505,0.0003301619,0.000667036],"genre_scores_gemma":[0.0001525607,0.00003528992,0.0001874104,0.00004328123,0.000003553417,0.00003763305,0.9988972,0.0001393037,0.0005036524],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.834612,"threshold_uncertainty_score":0.5532782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}