{"id":"W6887223079","doi":"10.15468/dl.uqb83j","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); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009028638,0.002003569,0.001466366,0.004682638,0.0009342239,0.002335586,0.00256814,0.001878852,0.1521435],"category_scores_gemma":[0.005835544,0.0008674085,0.001208055,0.009157855,0.00043142,0.002123712,0.002463749,0.001743441,0.2105247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001399305,"about_ca_system_score_gemma":0.002182663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01956374,"about_ca_topic_score_gemma":0.0316705,"domain_scores_codex":[0.9989895,0.000138494,0.0001292928,0.0003647706,0.0002072032,0.0001706879],"domain_scores_gemma":[0.9976847,0.0006559197,0.0002199829,0.000598353,0.000575406,0.0002655648],"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":[0.00003331059,0.0000122419,0.0004414262,0.0005370049,0.00001433971,0.0000144502,0.0000206973,0.0001376475,0.0001234239,0.0003331992,0.9967762,0.001556091],"study_design_scores_gemma":[0.00008240604,0.00001213019,0.002149962,0.0001971729,0.00001573955,0.00003984102,0.00007353928,0.000181292,0.0002064314,0.0008030209,0.996219,0.00001942567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005045148,0.00002755918,0.00004075579,0.00003427641,0.00001340245,0.000005247517,0.9988576,0.0003745107,0.0005962073],"genre_scores_gemma":[0.0001684587,0.00003321397,0.0001885833,0.00004523968,0.000003819721,0.00003999292,0.9989365,0.0001315908,0.0004525877],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8478565,"threshold_uncertainty_score":0.5089708,"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."}}