{"id":"W6924781903","doi":"10.15468/dl.svwvwe","title":"Occurrence Download","year":2020,"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); Ailanthus altissima; Range (aeronautics); 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":[0.00102059,0.001953151,0.001535441,0.005539605,0.0008655677,0.00232619,0.002823308,0.001975947,0.1371509],"category_scores_gemma":[0.005842107,0.0008907312,0.001139791,0.01065861,0.000453748,0.002119504,0.002414726,0.001829035,0.1837692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578998,"about_ca_system_score_gemma":0.002363433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0216872,"about_ca_topic_score_gemma":0.03408077,"domain_scores_codex":[0.998898,0.0001481361,0.0001556484,0.0003506083,0.0002566641,0.0001909271],"domain_scores_gemma":[0.9973956,0.0006766625,0.0002617927,0.0007059755,0.0006456657,0.0003142758],"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":[0.0000390288,0.00001377082,0.0004369206,0.0006097311,0.00001778126,0.00001806908,0.00002345976,0.0001453126,0.0001577265,0.0003989148,0.9965918,0.001547551],"study_design_scores_gemma":[0.00008195792,0.00001003906,0.002422452,0.0001924448,0.00001619343,0.00004429076,0.00007307383,0.0001615288,0.0002460517,0.0006827652,0.9960502,0.00001897998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004279337,0.00002385561,0.00003391277,0.00002955877,0.000009324029,0.000004866504,0.9990454,0.000298096,0.0005121171],"genre_scores_gemma":[0.0001483488,0.00002734956,0.0001444488,0.00003558768,0.000002859841,0.00003194824,0.9991661,0.00009315365,0.0003500929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8628491,"threshold_uncertainty_score":0.4588153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}