{"id":"W6924713051","doi":"10.15468/dl.tz8rsr","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Geography and Environmental Studies","field":"Environmental Science","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":[0.0008539135,0.001854882,0.001501312,0.004398148,0.0009814814,0.002820489,0.002671241,0.001829676,0.1864489],"category_scores_gemma":[0.005839598,0.0008861185,0.001323792,0.008940975,0.0003904998,0.002504192,0.002600843,0.00192842,0.2713596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511872,"about_ca_system_score_gemma":0.002280288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0219338,"about_ca_topic_score_gemma":0.03446741,"domain_scores_codex":[0.9989991,0.0001271634,0.0001287646,0.0003538534,0.0002152732,0.0001758943],"domain_scores_gemma":[0.9977151,0.0005973492,0.0001825701,0.0006178064,0.0006413372,0.0002458988],"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":[0.00002554886,0.000009018005,0.0003773749,0.000429369,0.00001264007,0.00001360007,0.00002169015,0.0001184368,0.00008996029,0.0003545677,0.9967836,0.001764177],"study_design_scores_gemma":[0.00005488435,0.000006480326,0.001593379,0.0001531914,0.00001109421,0.0000315908,0.00007162167,0.0001870932,0.0001627263,0.0007908175,0.996922,0.00001521545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000438569,0.00002796171,0.00006322842,0.00004289513,0.00001524399,0.000005929407,0.998362,0.0006218278,0.0008170924],"genre_scores_gemma":[0.0001813756,0.00003954664,0.0002541505,0.00005361842,0.000004539732,0.00004436348,0.9985594,0.000227295,0.0006356751],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8135511,"threshold_uncertainty_score":0.6237338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116614235513645,"score_gpt":0.1897026533388489,"score_spread":0.1785365109837125,"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."}}