{"id":"W6962316937","doi":"10.15468/dl.qnj5xr","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); Column (typography)","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":[0.001024457,0.001949179,0.001512193,0.004944182,0.0009963941,0.00249175,0.002839574,0.002138759,0.1459206],"category_scores_gemma":[0.00582545,0.0008965032,0.001152008,0.009224672,0.000454622,0.002300126,0.002523698,0.002066825,0.1985443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612851,"about_ca_system_score_gemma":0.002324614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02180031,"about_ca_topic_score_gemma":0.03717586,"domain_scores_codex":[0.9989529,0.0001477579,0.0001309977,0.0003628151,0.0002299302,0.0001755788],"domain_scores_gemma":[0.9974906,0.0007157787,0.0002383999,0.0006679217,0.0005863147,0.0003008661],"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":[0.00002753128,0.00001247034,0.0003886551,0.000494661,0.00001434855,0.00001461873,0.00002297731,0.0001331188,0.0001134089,0.0003715713,0.9970939,0.001312836],"study_design_scores_gemma":[0.00007573594,0.000008938657,0.002002707,0.0001880662,0.00001439138,0.00004073179,0.00007657026,0.0001761353,0.0001930469,0.0007839496,0.9964213,0.00001840359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004727493,0.00002726413,0.00004543699,0.00003891917,0.00001276963,0.000005406574,0.9988292,0.0003680768,0.0006255193],"genre_scores_gemma":[0.0001647234,0.00003043104,0.0001899866,0.00004442549,0.000003370104,0.00003965747,0.9989573,0.0001298824,0.0004402621],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8540794,"threshold_uncertainty_score":0.4881529,"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."}}