{"id":"W6943646749","doi":"10.15468/dl.yuhsev","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); Nova scotia; 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":[0.001004119,0.002010065,0.001540427,0.005749949,0.000962844,0.002647,0.002788776,0.001764644,0.1734796],"category_scores_gemma":[0.006420129,0.0009122912,0.001176967,0.01084502,0.0004157574,0.002399206,0.002888882,0.001986676,0.2485115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783167,"about_ca_system_score_gemma":0.002838227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02841154,"about_ca_topic_score_gemma":0.05007928,"domain_scores_codex":[0.9988381,0.0001460081,0.0001434668,0.0003999341,0.0002683005,0.0002042345],"domain_scores_gemma":[0.9969532,0.0007137875,0.0002707708,0.0008293262,0.0008428539,0.0003900754],"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":[0.00002477955,0.000007728072,0.0003037578,0.0004207586,0.00001277252,0.00001058849,0.00001735574,0.00008246493,0.00008732355,0.0003003249,0.9974728,0.001259292],"study_design_scores_gemma":[0.00005485395,0.00000649598,0.001754147,0.0001671615,0.00001240225,0.00002775865,0.000054052,0.0001068273,0.0001533289,0.0006049898,0.9970437,0.00001432888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003498057,0.00002681941,0.00003824099,0.00003140403,0.00001216563,0.00000514096,0.9988112,0.000371754,0.0006683521],"genre_scores_gemma":[0.0001343288,0.00003230027,0.0001647414,0.00003970596,0.000003704048,0.00003283779,0.9989631,0.0001453532,0.0004839672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8265204,"threshold_uncertainty_score":0.5803471,"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."}}