{"id":"W6887223604","doi":"10.15468/dl.ssp86d","title":"Occurrence Download","year":2023,"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); Range (aeronautics); R package; Data collection","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":[0.0009302142,0.00203688,0.001606918,0.005209785,0.0009822826,0.002499566,0.002832684,0.001990499,0.1495893],"category_scores_gemma":[0.005481484,0.0009103761,0.0011878,0.01044212,0.0004491013,0.002152272,0.00260958,0.001959845,0.220385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587094,"about_ca_system_score_gemma":0.002384171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02302098,"about_ca_topic_score_gemma":0.03855978,"domain_scores_codex":[0.9989942,0.0001287076,0.0001308385,0.0003419545,0.0002279487,0.0001763813],"domain_scores_gemma":[0.9977016,0.0005835277,0.0002197235,0.0006191267,0.0005917333,0.0002844351],"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":[0.0000334859,0.00001180996,0.0003778885,0.0005813491,0.00001626844,0.00001558728,0.00002350419,0.0001208355,0.0001438532,0.0003770035,0.9967628,0.001535639],"study_design_scores_gemma":[0.00007284766,0.000007780798,0.001851703,0.0001808623,0.00001456814,0.00003603333,0.00006237126,0.000129483,0.0002020644,0.0007124621,0.9967129,0.00001695193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004188829,0.00002723582,0.00003936854,0.00002905463,0.00001021501,0.00000503936,0.9988651,0.0003587457,0.0006233238],"genre_scores_gemma":[0.0001422144,0.00003172405,0.0001685579,0.00003907696,0.000002899502,0.00003526191,0.9990594,0.0001309158,0.0003899435],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8504108,"threshold_uncertainty_score":0.5004259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}