{"id":"W6943323680","doi":"10.15468/dl.l0y4yf","title":"Occurrence Download","year":2019,"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); Identification (biology); Order (exchange)","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":[0.0009549714,0.001919714,0.001688469,0.00573606,0.0009414667,0.002566659,0.002740998,0.002008986,0.1548615],"category_scores_gemma":[0.005863684,0.0008675159,0.001163615,0.01100114,0.0004517966,0.002168958,0.002747852,0.001836366,0.2086675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543712,"about_ca_system_score_gemma":0.002368265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01891728,"about_ca_topic_score_gemma":0.0318623,"domain_scores_codex":[0.9989237,0.000138246,0.0001558388,0.0003617535,0.0002342884,0.0001861839],"domain_scores_gemma":[0.9976508,0.000623186,0.0002409191,0.0006104221,0.0005919289,0.0002827061],"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":[0.0000394936,0.00001245736,0.000458994,0.0007900521,0.00002052727,0.00001891652,0.00002788257,0.0001433702,0.0001747392,0.0004466456,0.9961072,0.001759777],"study_design_scores_gemma":[0.00007574823,0.000009096356,0.002054357,0.0002254258,0.00001695208,0.00004127112,0.00007379409,0.0001298144,0.0002138113,0.0007205067,0.9964215,0.00001790367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000394356,0.00002912939,0.00003586115,0.0000280241,0.00001060167,0.000004903725,0.9990191,0.0002992851,0.0005335914],"genre_scores_gemma":[0.0001517704,0.00003582059,0.0001603201,0.00003851225,0.000003171951,0.00003546484,0.9991016,0.0001103436,0.0003630479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8451385,"threshold_uncertainty_score":0.5180634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}