{"id":"W6961834338","doi":"10.15468/dl.suy3re","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); 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":[0.001031786,0.002017065,0.001704412,0.005141196,0.001016372,0.002714822,0.002907376,0.002153895,0.1544569],"category_scores_gemma":[0.006011292,0.0009338594,0.001213071,0.009945096,0.0004566564,0.002428571,0.002673175,0.002068894,0.2161282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588695,"about_ca_system_score_gemma":0.002261834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01976191,"about_ca_topic_score_gemma":0.03387512,"domain_scores_codex":[0.9989231,0.0001495009,0.0001348013,0.000380116,0.0002328991,0.0001794785],"domain_scores_gemma":[0.9975888,0.000679354,0.0002324441,0.0006374318,0.0005730172,0.0002890397],"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":[0.00003100889,0.00001168871,0.0003974195,0.0005824069,0.00001620685,0.00001532635,0.00002400175,0.0001269363,0.0001247865,0.000393141,0.9969042,0.001372953],"study_design_scores_gemma":[0.00007477569,0.00000822232,0.001884975,0.0001980997,0.00001477197,0.0000363451,0.00007087126,0.0001491636,0.0001878544,0.0008080085,0.996549,0.00001798225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004145733,0.00002867864,0.00004275909,0.00003388967,0.00001118098,0.000005028472,0.9988623,0.0003588194,0.0006159603],"genre_scores_gemma":[0.0001584471,0.00003371468,0.000188023,0.00004496197,0.000003384881,0.00004125907,0.9989341,0.0001407353,0.0004553396],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8455431,"threshold_uncertainty_score":0.5167099,"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."}}