{"id":"W6943466745","doi":"10.15468/dl.qyjgsh","title":"Occurrence Download","year":2023,"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":[0.001055003,0.001901138,0.001595775,0.005307702,0.0009912121,0.002595057,0.002779407,0.002092452,0.1523284],"category_scores_gemma":[0.006183319,0.0008898184,0.001207703,0.01037288,0.0004493478,0.002316838,0.002475124,0.00199781,0.2113281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635383,"about_ca_system_score_gemma":0.002380134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02269639,"about_ca_topic_score_gemma":0.0366117,"domain_scores_codex":[0.998885,0.0001555894,0.0001455362,0.0003817895,0.0002495197,0.0001826213],"domain_scores_gemma":[0.997262,0.0008043585,0.0002612543,0.0007124252,0.0006619338,0.0002979484],"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":[0.00003027846,0.00001205185,0.0004026631,0.0005567856,0.00001558458,0.00001542864,0.00002378879,0.0001309508,0.0001168156,0.0003914845,0.9968496,0.00145467],"study_design_scores_gemma":[0.00007079867,0.000008592589,0.002059304,0.0002017782,0.00001484185,0.00003798875,0.00007585085,0.000145941,0.0001905102,0.0007844737,0.9963916,0.00001828635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004000189,0.00002540438,0.00004079887,0.00003422578,0.00001107025,0.000004812169,0.9989433,0.0003194624,0.0005808679],"genre_scores_gemma":[0.0001542698,0.00003238425,0.000180463,0.00004165258,0.000003318128,0.00003829049,0.9989783,0.000127257,0.0004442092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8476716,"threshold_uncertainty_score":0.5095892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}