{"id":"W6905745151","doi":"10.15468/dl.n9oczy","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herpetology; Extant taxon; Toolbox; Download; Matching (statistics); Range (aeronautics)","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":[0.001142656,0.002171292,0.00185142,0.006408197,0.001131199,0.003361854,0.003070557,0.00199911,0.2390827],"category_scores_gemma":[0.007006588,0.00107768,0.001555171,0.01284475,0.0004568526,0.00309747,0.003358231,0.002049427,0.3351729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761775,"about_ca_system_score_gemma":0.002550829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02167006,"about_ca_topic_score_gemma":0.03395009,"domain_scores_codex":[0.9986796,0.0001596902,0.0001824373,0.0004767044,0.0002770138,0.0002245786],"domain_scores_gemma":[0.9970546,0.0007744585,0.0002386496,0.0007828982,0.0008287748,0.0003205953],"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":[0.0000270459,0.000008612255,0.000317508,0.0005841972,0.00001443889,0.00001249546,0.00002321006,0.00008778521,0.0000867993,0.0003419353,0.9968984,0.001597612],"study_design_scores_gemma":[0.00006082694,0.000007335467,0.001434435,0.0002035188,0.00001333064,0.00002986642,0.00007638325,0.0001087563,0.0001453374,0.0007288117,0.9971752,0.00001619418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002548181,0.00002178756,0.00003891219,0.00002982523,0.00001180035,0.000005543853,0.9988453,0.000382067,0.0006391167],"genre_scores_gemma":[0.0001131299,0.00003665536,0.0002066568,0.00004460925,0.000004072212,0.00004925016,0.9987679,0.0002114861,0.0005661713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7609172,"threshold_uncertainty_score":0.7998114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}