{"id":"W6887278375","doi":"10.15468/dl.x3q9xg","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":[0.001002417,0.001929633,0.001540069,0.004760215,0.001072953,0.002727499,0.002895299,0.00213353,0.1842544],"category_scores_gemma":[0.006086867,0.0009370142,0.001274704,0.008750156,0.0004415062,0.002563825,0.002690103,0.002094578,0.2586468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573227,"about_ca_system_score_gemma":0.002340358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02034922,"about_ca_topic_score_gemma":0.03481124,"domain_scores_codex":[0.9989383,0.0001508313,0.0001286646,0.0003817423,0.0002289811,0.0001716036],"domain_scores_gemma":[0.9975568,0.0007200466,0.0002063871,0.0006481627,0.0006047334,0.0002638211],"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":[0.00002469535,0.00001034053,0.0003151231,0.0004559595,0.00001193533,0.00001337172,0.0000205762,0.00009892799,0.00009417393,0.000345099,0.9972454,0.001364428],"study_design_scores_gemma":[0.00006214778,0.000007759421,0.001609026,0.0001802989,0.00001290509,0.0000353971,0.00006958457,0.0001421598,0.0001710637,0.0008011148,0.996891,0.00001749755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003887606,0.00002685956,0.00005124588,0.00004301673,0.00001411572,0.000006138334,0.9986624,0.000425641,0.0007317979],"genre_scores_gemma":[0.0001497809,0.00003490322,0.0002199897,0.00005443714,0.000004065984,0.00005016702,0.9987062,0.000175901,0.0006045091],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8157456,"threshold_uncertainty_score":0.6163925,"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."}}