{"id":"W6943520662","doi":"10.15468/dl.s5s39k","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); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.0008788212,0.001993893,0.001563361,0.004991535,0.0009383162,0.002466887,0.002644501,0.001840474,0.1755903],"category_scores_gemma":[0.005301937,0.0009600021,0.001106724,0.009842404,0.0004252817,0.002293388,0.002550586,0.001848294,0.238542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001452599,"about_ca_system_score_gemma":0.002203667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01863235,"about_ca_topic_score_gemma":0.03296377,"domain_scores_codex":[0.9990113,0.0001304582,0.0001266375,0.0003541339,0.0002094062,0.0001681118],"domain_scores_gemma":[0.9976908,0.0006131211,0.000230751,0.0006038164,0.0005914294,0.0002700375],"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":[0.00003278993,0.00001115775,0.0003774152,0.0005489833,0.00001423331,0.00001374245,0.00002259016,0.0001176506,0.0001331259,0.0003933053,0.9968197,0.00151526],"study_design_scores_gemma":[0.00006526195,0.000007945167,0.001698498,0.0001643148,0.00001316537,0.00003202174,0.00005679094,0.0001157315,0.0001813766,0.0007441807,0.9969034,0.00001734576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004032936,0.00002425407,0.00004107959,0.00002768486,0.0000107993,0.000004477361,0.9988623,0.0003281183,0.000661071],"genre_scores_gemma":[0.0001501886,0.00003290547,0.0001951618,0.00004335319,0.000003444343,0.00003900755,0.9988506,0.0001525932,0.0005326404],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8244097,"threshold_uncertainty_score":0.5874082,"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."}}