{"id":"W6943286150","doi":"10.15468/dl.a6j5sb","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); Species name; Fish <Actinopterygii>","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":[0.001044752,0.002023178,0.001682569,0.005562458,0.001014657,0.002683633,0.002857626,0.00194269,0.1930728],"category_scores_gemma":[0.006730648,0.0009987525,0.001174862,0.01061205,0.0004590197,0.002478947,0.002838328,0.00199349,0.2550336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649138,"about_ca_system_score_gemma":0.002627248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02478234,"about_ca_topic_score_gemma":0.04216704,"domain_scores_codex":[0.998892,0.0001441464,0.000143737,0.0003848251,0.0002502063,0.0001851531],"domain_scores_gemma":[0.9972011,0.0007743648,0.00025541,0.0007128061,0.0007319704,0.0003243629],"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":[0.00002586565,0.000008872481,0.0003180127,0.0004907961,0.00001384784,0.00001283558,0.00002318264,0.00009796774,0.00009877811,0.0003573568,0.9972466,0.001305843],"study_design_scores_gemma":[0.0000621697,0.000006559021,0.001585833,0.0001787963,0.0000135171,0.00003121512,0.00006687152,0.0001118085,0.0001715413,0.0007483861,0.9970065,0.0000168397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003010801,0.00002019,0.00004157371,0.00002761312,0.000009632786,0.000004557632,0.998935,0.0003503399,0.0005808659],"genre_scores_gemma":[0.0001343778,0.00002986279,0.0001979921,0.00003801985,0.00000322086,0.00004166197,0.9988833,0.0001828205,0.0004888006],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8069272,"threshold_uncertainty_score":0.645893,"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."}}