{"id":"W6943302965","doi":"10.15468/dl.ss8yda","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Impulse Buying and Technology Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004251833,0.0002471707,0.0004017226,0.0002469382,0.0004219587,0.000113499,0.0006773859,0.000379289,0.05555935],"category_scores_gemma":[0.0002849549,0.0003203961,0.0001672628,0.0004111834,0.0001428638,0.0006557287,0.0004861433,0.0004910282,0.2210031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005573115,"about_ca_system_score_gemma":0.00006247817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009686125,"about_ca_topic_score_gemma":0.000005447991,"domain_scores_codex":[0.9986751,0.00001966582,0.0005678789,0.0002836697,0.0001005456,0.0003531131],"domain_scores_gemma":[0.9985889,0.00001336218,0.0006125882,0.0006281631,0.00004831608,0.0001086329],"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":[0.00001726544,0.00003814256,0.002964371,0.00006139535,0.00004050339,0.000002664442,0.00003217666,0.000008004903,2.010742e-9,0.000008289942,0.9963831,0.0004441092],"study_design_scores_gemma":[0.0003231717,0.00005038378,0.0001431066,6.780351e-7,0.00001257197,0.00000798882,0.00007321622,1.522701e-7,3.715164e-7,0.0000434247,0.9990309,0.0003140417],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006680362,0.0001209237,0.000005284176,0.0003670554,0.000995136,0.0002138085,0.9968997,0.0001385546,0.0005914708],"genre_scores_gemma":[0.00009727608,0.0001158473,0.000001328108,0.0006996153,9.787437e-7,0.000006798885,0.9990777,2.249192e-8,4.470933e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1654437,"threshold_uncertainty_score":0.9999248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02562301790233924,"score_gpt":0.2050330630326239,"score_spread":0.1794100451302846,"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."}}