{"id":"W6905642074","doi":"10.15468/dl.liahzz","title":"Occurrence Download","year":2018,"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); Information system; Confidentiality","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":[0.0009064082,0.00192517,0.001596546,0.005756881,0.0009271093,0.002457106,0.002759799,0.001967985,0.164201],"category_scores_gemma":[0.005785507,0.0008322507,0.001198967,0.01058888,0.0004150688,0.002314637,0.002755521,0.001932982,0.2316324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466872,"about_ca_system_score_gemma":0.002314354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01910969,"about_ca_topic_score_gemma":0.03415601,"domain_scores_codex":[0.9989358,0.0001345179,0.0001341576,0.0003694904,0.0002422128,0.0001838587],"domain_scores_gemma":[0.9975108,0.0006280361,0.0002377678,0.0006624843,0.0006489016,0.0003119197],"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":[0.0000258726,0.00000984576,0.0003602123,0.0005304657,0.00001602953,0.00001418095,0.00001970459,0.000111647,0.0001203463,0.000344529,0.9969677,0.001479394],"study_design_scores_gemma":[0.00006470337,0.000008503779,0.002005755,0.0001893845,0.00001567991,0.00003720683,0.00006251071,0.0001348713,0.0001814012,0.0006824874,0.9966006,0.00001700014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004020779,0.00003040861,0.00004215629,0.00003195133,0.00001247722,0.00000492987,0.998876,0.0003655618,0.0005963297],"genre_scores_gemma":[0.0001446977,0.00003325011,0.0001680024,0.00003837283,0.000003641928,0.00003271705,0.9990293,0.0001194405,0.0004305538],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.835799,"threshold_uncertainty_score":0.5493072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}