{"id":"W6943228917","doi":"10.15468/dl.st94wp","title":"Occurrence Download","year":2024,"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); 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":[0.001053223,0.001990563,0.001668685,0.005644335,0.0009531261,0.002600668,0.002760263,0.002075699,0.1562023],"category_scores_gemma":[0.006170603,0.0009197631,0.001240592,0.01025352,0.000466187,0.00226761,0.002805138,0.001927036,0.2176462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499825,"about_ca_system_score_gemma":0.002351599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01927392,"about_ca_topic_score_gemma":0.03261333,"domain_scores_codex":[0.9988979,0.000148416,0.0001489258,0.0003712642,0.0002461351,0.0001872489],"domain_scores_gemma":[0.9973897,0.0007050976,0.0002597325,0.0007014564,0.0006214643,0.000322615],"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":[0.00003370814,0.00001233119,0.0004260842,0.0006269337,0.00001800197,0.00001663682,0.00002393062,0.0001262109,0.0001392731,0.0003679246,0.9967613,0.001447781],"study_design_scores_gemma":[0.00008417486,0.000009833359,0.002150763,0.0002184519,0.00001691078,0.0000428914,0.00007184555,0.0001459122,0.0002023252,0.0007572393,0.9962808,0.00001878211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000444381,0.0000288548,0.00003862956,0.00003320774,0.000011916,0.000005138117,0.9989321,0.0003491258,0.0005566209],"genre_scores_gemma":[0.0001519028,0.0000329389,0.0001688608,0.00004138988,0.000003481339,0.00003650457,0.9990458,0.0001260933,0.0003930175],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8437977,"threshold_uncertainty_score":0.5225489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}