{"id":"W6924740842","doi":"10.15468/dl.tuhzg4","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); Range (aeronautics); Download; State (computer science); Confidentiality","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":[0.0009258554,0.002084665,0.001577622,0.005068559,0.0009801815,0.00252216,0.002790046,0.001916336,0.1707936],"category_scores_gemma":[0.005645401,0.0009664421,0.001156644,0.009901714,0.0004445272,0.002341521,0.002599324,0.001958206,0.2315072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499345,"about_ca_system_score_gemma":0.002231064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01967392,"about_ca_topic_score_gemma":0.03341635,"domain_scores_codex":[0.9989777,0.0001359851,0.0001262297,0.0003770109,0.0002126592,0.0001704941],"domain_scores_gemma":[0.9976514,0.0006569523,0.000229197,0.0006047677,0.0005824689,0.0002752146],"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":[0.00003089819,0.00001076602,0.0003768075,0.0005162967,0.00001434887,0.00001389922,0.00002208942,0.0001193446,0.0001184568,0.0003826063,0.996983,0.00141152],"study_design_scores_gemma":[0.00007040731,0.000008368305,0.001726508,0.0001734899,0.00001386339,0.00003568627,0.00006288955,0.0001308016,0.0001829045,0.000837782,0.9967391,0.00001819151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003977315,0.00002465952,0.00004255588,0.00002974054,0.00001154028,0.000004462475,0.9988411,0.0003512768,0.000655005],"genre_scores_gemma":[0.0001499066,0.00003213347,0.000198512,0.00004500241,0.000003443185,0.00003915149,0.998867,0.0001657729,0.0004990278],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8292064,"threshold_uncertainty_score":0.5713614,"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."}}