{"id":"W6905889578","doi":"10.15468/dl.sr4nh6","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); Range (aeronautics); Alien; The Internet","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":[0.001012979,0.001966234,0.001556888,0.004985387,0.001031248,0.002665091,0.002639601,0.002105184,0.164823],"category_scores_gemma":[0.006332059,0.0008822961,0.001253954,0.009333188,0.0004444772,0.002376111,0.002576784,0.001945834,0.2303931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152508,"about_ca_system_score_gemma":0.002319578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02100883,"about_ca_topic_score_gemma":0.0325775,"domain_scores_codex":[0.9989361,0.0001513116,0.0001346276,0.0003737426,0.000230648,0.0001734847],"domain_scores_gemma":[0.997323,0.0008119893,0.0002296273,0.0006907285,0.0006604823,0.0002842656],"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":[0.00002937261,0.00001223436,0.0004135931,0.0005454202,0.00001381599,0.00001573,0.00002396604,0.000125269,0.0001131401,0.0003499881,0.9968861,0.001471427],"study_design_scores_gemma":[0.00007282561,0.000009652431,0.00199448,0.0002125827,0.0000147061,0.00003798167,0.00008570255,0.000167997,0.0001884589,0.0007754696,0.9964216,0.00001863247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004717554,0.00002970722,0.0000459511,0.00004240398,0.00001427148,0.000006244283,0.9987273,0.0004215171,0.0006653492],"genre_scores_gemma":[0.0001774126,0.0000364683,0.0002075157,0.0000511877,0.000004335686,0.00004805188,0.998809,0.0001565913,0.0005094532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.835177,"threshold_uncertainty_score":0.5513878,"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."}}