{"id":"W6962432787","doi":"10.15468/dl.zuefiu","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); Set (abstract data type)","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":[0.000995329,0.00196987,0.001633398,0.005699878,0.0009897131,0.002631525,0.002920334,0.002033253,0.1481878],"category_scores_gemma":[0.005762077,0.0009049437,0.001177379,0.01112123,0.0004659122,0.002312203,0.002557913,0.001979999,0.2240617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638586,"about_ca_system_score_gemma":0.002317203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02179519,"about_ca_topic_score_gemma":0.03540609,"domain_scores_codex":[0.9989255,0.0001442299,0.0001447242,0.0003724728,0.000234791,0.0001782272],"domain_scores_gemma":[0.9975615,0.0006745169,0.0002392454,0.000658489,0.0005952326,0.0002710815],"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":[0.00003045452,0.00001145066,0.000412787,0.0006048855,0.00001684251,0.00001720869,0.00002724362,0.0001383814,0.0001316193,0.000443194,0.996576,0.001589858],"study_design_scores_gemma":[0.00006142178,0.000007341013,0.001715553,0.000185077,0.00001438236,0.00003882774,0.00007489511,0.0001412696,0.0001825518,0.0007446973,0.9968172,0.00001691536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004319888,0.00003085196,0.00004668851,0.00003286479,0.00001179773,0.000004650022,0.9988374,0.0003751894,0.0006174411],"genre_scores_gemma":[0.0001483849,0.00003434454,0.0001804316,0.00003581482,0.000002970185,0.00003225783,0.9990216,0.0001339347,0.0004101691],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8518122,"threshold_uncertainty_score":0.4957376,"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."}}