{"id":"W6887040565","doi":"10.15468/dl.kvwuv2","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; The Internet","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":[0.001025653,0.001989821,0.001604464,0.005004366,0.001057945,0.002835857,0.002948333,0.002219188,0.1773222],"category_scores_gemma":[0.006552947,0.0009288773,0.001316952,0.00937435,0.0004465728,0.002599142,0.002705353,0.00210259,0.2436419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163154,"about_ca_system_score_gemma":0.002364934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02013163,"about_ca_topic_score_gemma":0.03309335,"domain_scores_codex":[0.9988972,0.0001554352,0.000139002,0.0003965179,0.0002344729,0.0001773569],"domain_scores_gemma":[0.9973661,0.0007901617,0.0002280106,0.0006917363,0.0006418715,0.000281979],"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":[0.00002636663,0.00001109603,0.000344657,0.0005274442,0.00001359939,0.00001380331,0.0000208167,0.0001100152,0.00009526288,0.000347956,0.9970849,0.001404042],"study_design_scores_gemma":[0.00007038951,0.000008901153,0.001702648,0.0002124076,0.00001467276,0.00003686414,0.00007416202,0.0001600014,0.0001733468,0.0008266711,0.9967019,0.00001810754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000369001,0.00002841516,0.0000435922,0.00004291236,0.00001386612,0.000005928723,0.9988239,0.0003796634,0.000624789],"genre_scores_gemma":[0.0001468947,0.00003761742,0.0002034772,0.00005499385,0.000004132007,0.00005034421,0.9988129,0.0001500878,0.0005395901],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8226777,"threshold_uncertainty_score":0.593202,"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."}}