{"id":"W6962323128","doi":"10.15468/dl.wd5snh","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":[0.0009514074,0.001990248,0.001586009,0.005082923,0.0009973125,0.00255798,0.002605449,0.0019694,0.1602573],"category_scores_gemma":[0.006358065,0.0008907931,0.001215101,0.01007926,0.0004291526,0.002207023,0.002469579,0.001828305,0.2135896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515856,"about_ca_system_score_gemma":0.00231743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02062977,"about_ca_topic_score_gemma":0.03282519,"domain_scores_codex":[0.9989108,0.0001492383,0.0001429665,0.0003948738,0.0002241628,0.0001779264],"domain_scores_gemma":[0.9974875,0.0007531918,0.0002431383,0.0006189864,0.0006261651,0.0002709319],"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":[0.00003410765,0.00001169687,0.0004515596,0.000602766,0.00001575137,0.00001560538,0.00002249539,0.0001367611,0.0001230699,0.0003756528,0.9966858,0.001524738],"study_design_scores_gemma":[0.00007632346,0.00001054772,0.001988807,0.0002074461,0.00001667306,0.00003844063,0.00006868067,0.0001649222,0.0001933714,0.0008309972,0.9963841,0.00001968849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004393065,0.00002744191,0.00003996256,0.00003391019,0.00001178184,0.000004869712,0.9988846,0.0003587911,0.0005947412],"genre_scores_gemma":[0.000169601,0.00003630921,0.0001939014,0.00004784449,0.00000382812,0.0000433025,0.9988812,0.0001467571,0.0004772799],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8397427,"threshold_uncertainty_score":0.536114,"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."}}