{"id":"W6924693432","doi":"10.15468/dl.xh1nr6","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange); Task (project management)","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":[0.001004462,0.00189474,0.001406839,0.005044007,0.001024477,0.00252153,0.002886763,0.001955525,0.1079586],"category_scores_gemma":[0.006178468,0.0007968898,0.001158966,0.009207299,0.0004658778,0.002134434,0.002501115,0.001993916,0.1705787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725789,"about_ca_system_score_gemma":0.002575143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02433447,"about_ca_topic_score_gemma":0.04012757,"domain_scores_codex":[0.9988754,0.0001479041,0.0001543746,0.0003671714,0.0002666534,0.0001885283],"domain_scores_gemma":[0.997535,0.0006233445,0.0002366118,0.000685372,0.0006407266,0.0002789511],"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":[0.00003198104,0.00001247532,0.0004731348,0.0004595657,0.00001389985,0.00001701934,0.00002653218,0.0001353499,0.0001121031,0.0004306953,0.996857,0.001430332],"study_design_scores_gemma":[0.00006963543,0.000007780883,0.002006785,0.0001753982,0.0000128041,0.00004198454,0.0000851238,0.00017169,0.0002099041,0.0007786566,0.9964234,0.00001668599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005776716,0.00002894108,0.00004919261,0.00004319412,0.00001343578,0.000006466836,0.9986109,0.0004786137,0.0007114972],"genre_scores_gemma":[0.0001759864,0.00002998589,0.0001885971,0.00004013604,0.000003056962,0.00003783529,0.9989724,0.0001296643,0.0004223447],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8920414,"threshold_uncertainty_score":0.3611575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899645863313597,"score_gpt":0.2504084567815649,"score_spread":0.2314119981484289,"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."}}