{"id":"W6924730031","doi":"10.15468/dl.k36bz8","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); Alien","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":[0.0009426285,0.001960861,0.001507364,0.00429629,0.001026852,0.002458434,0.002714061,0.002143149,0.1500264],"category_scores_gemma":[0.005779986,0.0008899787,0.001301521,0.008160597,0.0004430134,0.002362482,0.002488891,0.002017051,0.2122634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491971,"about_ca_system_score_gemma":0.002223763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02162065,"about_ca_topic_score_gemma":0.03640888,"domain_scores_codex":[0.9990116,0.0001412185,0.0001190469,0.0003571065,0.0002109609,0.0001599891],"domain_scores_gemma":[0.997544,0.0007203289,0.0002118267,0.0006717127,0.0005801143,0.0002720407],"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":[0.0000286949,0.00001224848,0.0003837007,0.0004920124,0.00001378872,0.00001424028,0.00002223252,0.0001304106,0.0001113919,0.0003285398,0.9970913,0.001371406],"study_design_scores_gemma":[0.00007863629,0.00001038549,0.002057678,0.0001969564,0.00001524867,0.00003930185,0.00008027937,0.0001966285,0.0002049994,0.0008144958,0.9962863,0.00001910231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005173256,0.00002989383,0.00004937631,0.00004496185,0.00001523035,0.000006420565,0.9986817,0.0004607912,0.0006598443],"genre_scores_gemma":[0.0001790271,0.00003385032,0.0002146283,0.00005350287,0.000003999614,0.00004689919,0.998823,0.0001512982,0.0004937063],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8499737,"threshold_uncertainty_score":0.5018882,"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."}}