{"id":"W6905741304","doi":"10.15468/dl.rfejdr","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":"Matching (statistics); Download; Range (aeronautics); Field (mathematics)","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":[0.000939238,0.002051016,0.001630123,0.004986133,0.00094499,0.002601942,0.002686876,0.001961709,0.1677384],"category_scores_gemma":[0.005800678,0.000986847,0.001127848,0.009890496,0.0004172997,0.002341601,0.002557368,0.001885701,0.2238226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532137,"about_ca_system_score_gemma":0.00228793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01937717,"about_ca_topic_score_gemma":0.03292489,"domain_scores_codex":[0.9989613,0.0001396905,0.0001346004,0.0003723833,0.0002218737,0.000170156],"domain_scores_gemma":[0.9975417,0.000685047,0.0002426141,0.0006316265,0.0006204935,0.0002786358],"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":[0.00003424928,0.00001156843,0.0003752753,0.000587657,0.00001546762,0.00001420332,0.00002158142,0.0001159558,0.0001316775,0.0004063334,0.9968438,0.001442237],"study_design_scores_gemma":[0.00007284027,0.000008409917,0.001759536,0.0001785144,0.00001454234,0.00003406036,0.00005427316,0.0001238,0.0001935305,0.0007654166,0.9967771,0.00001789422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003787798,0.00002603494,0.00004028623,0.00002945102,0.000009932874,0.000004591353,0.9988776,0.0003374038,0.0006368551],"genre_scores_gemma":[0.0001533198,0.00003501984,0.000188299,0.00004594674,0.000003367589,0.0000406171,0.9988802,0.0001506205,0.0005026741],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8322616,"threshold_uncertainty_score":0.5611407,"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."}}