{"id":"W6961904039","doi":"10.15468/dl.yjyy2f","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); Alien","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":[0.0009837315,0.001982832,0.001603803,0.004827476,0.001026896,0.002531594,0.002761515,0.002195071,0.1530221],"category_scores_gemma":[0.005925809,0.0008744622,0.001275043,0.009104977,0.0004453113,0.002279036,0.002495279,0.00196557,0.2207787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150412,"about_ca_system_score_gemma":0.002263936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02015782,"about_ca_topic_score_gemma":0.03239901,"domain_scores_codex":[0.9989929,0.0001404307,0.0001244244,0.0003532322,0.0002237412,0.000165218],"domain_scores_gemma":[0.997606,0.0006952135,0.0002069748,0.0006241045,0.0006084965,0.0002591079],"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":[0.00002977659,0.00001294312,0.0004170452,0.0005658246,0.00001510204,0.00001618007,0.00002243396,0.0001359501,0.0001301783,0.0003380596,0.9967499,0.00156662],"study_design_scores_gemma":[0.00007785267,0.00001034412,0.002111123,0.0002218328,0.00001587819,0.0000408031,0.00007931681,0.0001873677,0.0002110551,0.0007644366,0.9962611,0.00001891479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005006324,0.00003301334,0.00004701661,0.0000409462,0.00001422569,0.000006134845,0.9987612,0.0004164799,0.0006309216],"genre_scores_gemma":[0.0001709275,0.00003650929,0.0002026404,0.00004884664,0.000003973478,0.00004651525,0.998892,0.0001386868,0.0004598426],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8469779,"threshold_uncertainty_score":0.5119097,"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."}}