{"id":"W6905764417","doi":"10.15468/dl.msfzg6","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.000912189,0.001851183,0.001566285,0.0050068,0.001066782,0.003033388,0.002732801,0.001834201,0.1991472],"category_scores_gemma":[0.006275725,0.0009296374,0.001331533,0.009922314,0.0004144149,0.002647428,0.002857592,0.001931742,0.2862808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001423658,"about_ca_system_score_gemma":0.00231304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02025685,"about_ca_topic_score_gemma":0.03221703,"domain_scores_codex":[0.9989271,0.0001310806,0.0001334376,0.0003826042,0.0002361838,0.0001896536],"domain_scores_gemma":[0.997483,0.0006518423,0.0002035841,0.000709968,0.0006866395,0.0002651517],"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":[0.00002775619,0.000009261108,0.0004181042,0.0004935606,0.00001424428,0.0000161692,0.0000265551,0.0001220732,0.0001184727,0.0003921954,0.9964126,0.00194903],"study_design_scores_gemma":[0.00004785361,0.000006359414,0.001580575,0.0001525463,0.0000116209,0.00003319186,0.0000766948,0.0001523807,0.0001656578,0.0007587939,0.9969985,0.0000158105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004852202,0.00003115218,0.00007018157,0.00004518119,0.00001801412,0.000006096117,0.9981324,0.0007038219,0.000944663],"genre_scores_gemma":[0.0001962566,0.00004179452,0.0002742195,0.00005388699,0.000005123319,0.00004478517,0.9984109,0.000272709,0.0007003075],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8008528,"threshold_uncertainty_score":0.6662138,"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."}}