{"id":"W6961991691","doi":"10.15468/dl.puhr5u","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); Data set","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":[0.0009667119,0.002003886,0.001551743,0.004641121,0.0009804459,0.002416156,0.002870004,0.002019524,0.1473347],"category_scores_gemma":[0.005398475,0.0009585877,0.001186401,0.009480822,0.0004605058,0.002194328,0.002563557,0.002047278,0.2009978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634367,"about_ca_system_score_gemma":0.002374137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02477804,"about_ca_topic_score_gemma":0.03903282,"domain_scores_codex":[0.999018,0.0001247134,0.0001200571,0.0003403013,0.0002296283,0.0001673669],"domain_scores_gemma":[0.9978095,0.0006057363,0.0002072569,0.0005858956,0.0005252945,0.0002663917],"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":[0.00002927458,0.00001180618,0.0003910298,0.0004923548,0.00001517953,0.00001514351,0.00002570744,0.0001345575,0.0001327386,0.0004169436,0.9969037,0.001431647],"study_design_scores_gemma":[0.00007606103,0.000008091246,0.001933669,0.0001713106,0.00001429125,0.00003822882,0.00007408611,0.0001650108,0.0002235724,0.0007595484,0.9965175,0.00001859446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004637344,0.0000249841,0.00005033199,0.00003456187,0.00001196979,0.000005183941,0.9987638,0.0004364461,0.0006263549],"genre_scores_gemma":[0.0001637874,0.00002915712,0.0001989614,0.00004037284,0.000002906607,0.00003757103,0.9989443,0.0001622433,0.0004206428],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8526652,"threshold_uncertainty_score":0.4928838,"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."}}