{"id":"W6962118469","doi":"10.15468/dl.ot0jx6","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); 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":[0.001036238,0.00217084,0.001685832,0.005540154,0.001001573,0.002735057,0.003060239,0.002063357,0.1422695],"category_scores_gemma":[0.006119628,0.0008922763,0.001282742,0.01092527,0.0004499245,0.002350011,0.002846012,0.002083747,0.2212089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614399,"about_ca_system_score_gemma":0.002503179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02194573,"about_ca_topic_score_gemma":0.03574051,"domain_scores_codex":[0.9988216,0.0001571672,0.0001531906,0.0003992623,0.0002662503,0.000202506],"domain_scores_gemma":[0.9974611,0.0006097333,0.0002514758,0.0007077527,0.0006595307,0.0003103426],"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":[0.00003413269,0.00001193842,0.000380639,0.0005332457,0.00001730247,0.00001532964,0.00002237636,0.0001177778,0.0001149752,0.000369395,0.9969583,0.001424644],"study_design_scores_gemma":[0.00007768567,0.000008403569,0.001897614,0.0001871454,0.00001559739,0.00003733362,0.00006444325,0.0001431992,0.0001937579,0.000783647,0.996574,0.00001726552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004257091,0.00002956378,0.00004057,0.00003289619,0.00001102157,0.000005405414,0.9988338,0.000401644,0.0006025174],"genre_scores_gemma":[0.0001381212,0.00003120317,0.0001580559,0.0000381955,0.000003131273,0.00003395578,0.9991036,0.0001231771,0.0003705753],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8577305,"threshold_uncertainty_score":0.475939,"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."}}