{"id":"W6962259660","doi":"10.15468/dl.qgfn3a","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":"Download; Matching (statistics); Alien; Range (aeronautics)","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":[0.0009077719,0.00211152,0.001511315,0.004839137,0.0009777793,0.002407209,0.00265055,0.00196657,0.1600842],"category_scores_gemma":[0.005650641,0.0008635749,0.001208934,0.009507391,0.0004499849,0.002128096,0.002497367,0.001807174,0.2232803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477686,"about_ca_system_score_gemma":0.002221477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02093944,"about_ca_topic_score_gemma":0.03425318,"domain_scores_codex":[0.9990181,0.0001340845,0.0001201309,0.0003537065,0.0002054825,0.0001684921],"domain_scores_gemma":[0.9977664,0.000630057,0.0002133565,0.000572548,0.0005623415,0.0002552764],"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":[0.00003185872,0.00001216722,0.0004129894,0.000526978,0.00001361617,0.00001475551,0.00002237493,0.0001373831,0.0001283663,0.0003474317,0.9968312,0.001520964],"study_design_scores_gemma":[0.00007656387,0.0000108598,0.001884647,0.0001875036,0.00001476175,0.00003767264,0.00007200182,0.0001748528,0.0002074985,0.0007966848,0.9965179,0.00001911931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005107739,0.00002855915,0.00004311036,0.0000341151,0.00001295057,0.000005499543,0.9987555,0.0004077829,0.0006614309],"genre_scores_gemma":[0.000171634,0.0000340481,0.0002056313,0.00004562875,0.000003757647,0.00004424469,0.9988645,0.0001531528,0.0004773571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8399158,"threshold_uncertainty_score":0.5355349,"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."}}