{"id":"W6924588884","doi":"10.15468/dl.p7e7gf","title":"Occurrence Download","year":2021,"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); Set (abstract data type); Data set","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":[0.0009266943,0.002081566,0.001642516,0.005081011,0.001066012,0.002833938,0.003057574,0.002171753,0.167091],"category_scores_gemma":[0.006261818,0.0009847352,0.001226607,0.01015575,0.0004546482,0.002496507,0.002599794,0.002098361,0.233375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738705,"about_ca_system_score_gemma":0.002463287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0234389,"about_ca_topic_score_gemma":0.03678245,"domain_scores_codex":[0.9989881,0.0001378783,0.000124861,0.0003663689,0.0002216201,0.0001612521],"domain_scores_gemma":[0.9977551,0.0006598397,0.0002034296,0.0005895665,0.0005434421,0.0002486501],"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":[0.00002754142,0.00001002355,0.0003396515,0.0005597725,0.00001473,0.00001502843,0.00002249068,0.0001176484,0.00009673874,0.0003669613,0.997015,0.001414325],"study_design_scores_gemma":[0.00006814901,0.0000071684,0.001484896,0.0001959134,0.00001492644,0.00003859397,0.00006755756,0.0001656948,0.0001781489,0.000790959,0.996971,0.00001702111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003847288,0.00003224704,0.00004886151,0.00003918132,0.00001198241,0.000005410284,0.9986771,0.0004756982,0.0006711427],"genre_scores_gemma":[0.0001617743,0.00003979071,0.0001965104,0.00005026277,0.00000330925,0.00004398126,0.9988343,0.0001804556,0.0004896685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.832909,"threshold_uncertainty_score":0.558975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}