{"id":"W6905992431","doi":"10.15468/dl.pc3m8x","title":"Occurrence Download","year":2022,"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); Confidentiality; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009849778,0.001912162,0.001466744,0.004740972,0.001007048,0.002444016,0.002788401,0.002114156,0.1546123],"category_scores_gemma":[0.00584201,0.0009065066,0.001161766,0.008973476,0.0004611788,0.002372481,0.002571441,0.002085819,0.2145662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586738,"about_ca_system_score_gemma":0.002283572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02198054,"about_ca_topic_score_gemma":0.0383836,"domain_scores_codex":[0.998998,0.0001416536,0.0001204771,0.0003619906,0.0002151902,0.000162671],"domain_scores_gemma":[0.9974733,0.0007160435,0.0002287604,0.0006900487,0.0005999514,0.0002918313],"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":[0.00002469255,0.00001162146,0.0003674664,0.0004408058,0.00001255451,0.00001317206,0.00002274266,0.0001226255,0.0001037125,0.000346157,0.997237,0.001297441],"study_design_scores_gemma":[0.00007015282,0.000008272714,0.001892189,0.00017332,0.00001295029,0.0000362918,0.00007923781,0.0001671132,0.0001824674,0.0007902752,0.99657,0.00001781511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004702164,0.00002573783,0.00004856319,0.00004138145,0.00001344051,0.000005748542,0.9987479,0.0004090611,0.0006610713],"genre_scores_gemma":[0.0001747734,0.00003011741,0.0002229254,0.00004868375,0.000003636661,0.00004501738,0.9988201,0.0001564856,0.0004982922],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8453877,"threshold_uncertainty_score":0.5172296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}