{"id":"W6905871999","doi":"10.15468/dl.smg42t","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; Identification (biology); Set (abstract data type)","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":[0.0009019687,0.002041562,0.001612953,0.00522928,0.0009097955,0.002639969,0.002637446,0.001845652,0.1751612],"category_scores_gemma":[0.005745444,0.0009720094,0.001163297,0.01051781,0.0004144058,0.002358453,0.002598518,0.001828432,0.2345596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148757,"about_ca_system_score_gemma":0.002261107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01912608,"about_ca_topic_score_gemma":0.03260629,"domain_scores_codex":[0.9989446,0.0001390499,0.0001412787,0.0003808122,0.0002189654,0.0001753503],"domain_scores_gemma":[0.9975178,0.0006741183,0.0002503133,0.0006387252,0.0006348828,0.0002842004],"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":[0.0000337087,0.00001058378,0.0003768132,0.0006018424,0.00001596597,0.00001371155,0.00002184353,0.0001158728,0.000121796,0.0003854325,0.996829,0.001473435],"study_design_scores_gemma":[0.00006992152,0.000008171861,0.001721765,0.0001839155,0.00001464328,0.00003225342,0.00005738663,0.0001171659,0.0001738599,0.0007669658,0.9968362,0.00001769668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003456065,0.00002498858,0.00003592122,0.0000278119,0.00001020683,0.000004279545,0.9989562,0.0003031279,0.0006027964],"genre_scores_gemma":[0.0001448065,0.00003608023,0.0001816497,0.00004598134,0.000003505127,0.0000382683,0.9989042,0.000143311,0.0005022658],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8248388,"threshold_uncertainty_score":0.5859725,"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."}}