{"id":"W6887188826","doi":"10.15468/dl.w4yvps","title":"Occurrence Download","year":2022,"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); State (computer science); Confidentiality","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":[0.001040501,0.001992639,0.001506724,0.004754642,0.001043647,0.002403527,0.002926809,0.002162027,0.1428505],"category_scores_gemma":[0.005747014,0.0008847543,0.00118304,0.008937004,0.0004725206,0.002376147,0.002513959,0.002134653,0.1996981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611076,"about_ca_system_score_gemma":0.002325616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02134493,"about_ca_topic_score_gemma":0.03810368,"domain_scores_codex":[0.9989443,0.0001581588,0.0001284594,0.000369495,0.0002290148,0.0001705009],"domain_scores_gemma":[0.9974663,0.000728058,0.0002325557,0.0006931818,0.0005917221,0.0002881374],"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":[0.00002841394,0.000013088,0.0003735026,0.000477005,0.00001401668,0.00001447558,0.00002407918,0.0001378661,0.0001123106,0.0003891433,0.9970481,0.00136801],"study_design_scores_gemma":[0.00007248593,0.000008490186,0.001783226,0.0001755012,0.0000135145,0.00003826343,0.00007828514,0.0001728912,0.0001901651,0.0008521932,0.9965963,0.00001860015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005036623,0.00002813497,0.00005361535,0.00004114561,0.00001404071,0.000005941323,0.9986984,0.0004153168,0.0006930826],"genre_scores_gemma":[0.0001626567,0.00002918369,0.0002164781,0.00004428415,0.0000033816,0.0000423244,0.998917,0.0001376462,0.0004470816],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8571495,"threshold_uncertainty_score":0.4778826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}