{"id":"W6943419028","doi":"10.15468/dl.rigpqk","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); The Internet","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":[0.0006264832,0.0005838554,0.0004870524,0.000214081,0.0005306065,0.0003174315,0.00126917,0.0007137181,0.005582997],"category_scores_gemma":[0.0004520772,0.0006192809,0.0002727703,0.000787467,0.0006867967,0.002309213,0.000832178,0.0004596158,0.9870903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119777,"about_ca_system_score_gemma":0.0003401574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001021728,"about_ca_topic_score_gemma":0.0000564835,"domain_scores_codex":[0.9969676,0.0001459357,0.0006902875,0.0004264754,0.001144981,0.0006247093],"domain_scores_gemma":[0.996777,0.00002360249,0.000744221,0.001237008,0.0008636171,0.0003545416],"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":[0.0001559158,0.00006219129,0.0008506005,0.0001776976,0.0000650802,0.000002713958,0.00004231145,0.000002398869,5.338831e-8,2.616471e-8,0.99836,0.0002810121],"study_design_scores_gemma":[0.0005704824,0.00006989992,0.000106626,0.000004313801,0.0001201816,0.00001054613,0.00007464569,1.108495e-7,0.000004372082,8.251567e-7,0.9984372,0.0006007705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000471993,0.00001189275,0.000001149775,0.00004745534,0.001069758,0.000562786,0.997221,0.0003469565,0.0002669927],"genre_scores_gemma":[0.000005415614,0.00002279245,0.00000205319,0.0004610418,0.000004144146,0.000005157605,0.9994993,2.429427e-8,5.433006e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9815074,"threshold_uncertainty_score":0.9996259,"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."}}