{"id":"W6943343779","doi":"10.15468/dl.y63qgs","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":"Download; Matching (statistics); Range (aeronautics); Identification (biology); Set (abstract data type)","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":[0.001150765,0.002000226,0.001696425,0.005593162,0.001026071,0.002923359,0.002912178,0.002088353,0.1688416],"category_scores_gemma":[0.006938885,0.001009295,0.001171855,0.01106696,0.0004661203,0.002465647,0.002693187,0.002056086,0.2267838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167838,"about_ca_system_score_gemma":0.002455734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02175478,"about_ca_topic_score_gemma":0.03473908,"domain_scores_codex":[0.9987887,0.0001665121,0.0001650798,0.0004229112,0.0002686697,0.0001882839],"domain_scores_gemma":[0.9971372,0.0008559795,0.0002752748,0.0007444365,0.0006658249,0.0003212765],"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":[0.00002896969,0.00001012323,0.0003683947,0.0005702443,0.00001608735,0.00001544147,0.00002481842,0.0001216663,0.0001060075,0.0004038755,0.9970044,0.001329893],"study_design_scores_gemma":[0.00007048638,0.000007366961,0.00177758,0.000203639,0.00001518863,0.00003807938,0.00007468575,0.0001394231,0.0001643462,0.0007895285,0.9967019,0.00001776276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003330165,0.00002442191,0.00004270103,0.00003224897,0.00001041775,0.000004430098,0.9989539,0.0003360133,0.0005624007],"genre_scores_gemma":[0.0001443269,0.00003339775,0.0001850785,0.00004109654,0.00000316807,0.00003749763,0.9989858,0.0001546377,0.0004150166],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8311584,"threshold_uncertainty_score":0.5648314,"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."}}