{"id":"W6924825482","doi":"10.15468/dl.t9w6nk","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000140368,0.0002397325,0.0002306925,0.0001062566,0.000238338,0.00009140954,0.001129913,0.0002927865,0.02168442],"category_scores_gemma":[0.0001163693,0.0002785611,0.0001000559,0.0003936607,0.0001567974,0.0005882853,0.0007866463,0.0005987577,0.06051399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005568594,"about_ca_system_score_gemma":0.00003910562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006386645,"about_ca_topic_score_gemma":0.000004297638,"domain_scores_codex":[0.9988943,0.00003376086,0.0003357823,0.0001239712,0.0003704096,0.0002417579],"domain_scores_gemma":[0.998809,0.00002793862,0.00009692937,0.000907443,0.00008284285,0.0000757962],"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":[0.00000558494,0.00001413701,0.00005874318,0.0001158738,0.00002592554,7.139354e-7,0.00001234689,0.0003829439,3.291311e-8,4.286478e-7,0.9954068,0.003976488],"study_design_scores_gemma":[0.0001283845,0.00001636137,0.0000149652,8.938858e-7,0.00001556381,0.000002089898,0.000153847,0.000003110288,0.000005598497,0.000001619344,0.9993909,0.0002666517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001641576,0.0001099848,0.00000834555,0.00009502149,0.0004191126,0.000201515,0.9978312,0.0009210906,0.0002495465],"genre_scores_gemma":[0.00004505423,0.0006344912,0.000004025879,0.00009095853,2.978011e-7,0.00001438609,0.9992107,2.047711e-8,2.85819e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03882957,"threshold_uncertainty_score":0.9999667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340789470248947,"score_gpt":0.2045945466241837,"score_spread":0.1911866519216943,"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."}}