{"id":"W6887157727","doi":"10.15468/dl.pyuemj","title":"Occurrence Download","year":2015,"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":[0.001056493,0.001892252,0.001612434,0.005595011,0.0009448765,0.002554507,0.002895657,0.002039921,0.1440844],"category_scores_gemma":[0.006264999,0.0008665253,0.001225029,0.01070671,0.0004437038,0.002212057,0.002618277,0.001959453,0.1903155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557135,"about_ca_system_score_gemma":0.002426223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02005217,"about_ca_topic_score_gemma":0.0339362,"domain_scores_codex":[0.9988924,0.0001483743,0.0001546029,0.0003716724,0.000251166,0.000181908],"domain_scores_gemma":[0.997395,0.0007052977,0.000267746,0.0006938998,0.0006384444,0.0002995295],"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":[0.00003199494,0.00001268771,0.0004531633,0.000604469,0.00001876473,0.00001621763,0.00002305105,0.0001357249,0.0001274552,0.0004003466,0.9966905,0.001485646],"study_design_scores_gemma":[0.00008456768,0.000009656924,0.002378466,0.0002258121,0.00001794956,0.00004283476,0.00007031833,0.0001532043,0.000201428,0.0007630922,0.996034,0.0000188184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000048428,0.0000317026,0.00004099598,0.00003374126,0.00001154055,0.000005340994,0.9989163,0.000324478,0.0005875772],"genre_scores_gemma":[0.0001549941,0.00003232474,0.0001551481,0.0000388782,0.000003180737,0.00003516975,0.9991098,0.0001006765,0.0003698499],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8559156,"threshold_uncertainty_score":0.4820104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}