{"id":"W6943230285","doi":"10.15468/dl.k7f5kp","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); Order (exchange)","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":[0.001089973,0.001903751,0.00159652,0.005300331,0.001046734,0.002710278,0.002773485,0.002019399,0.1684065],"category_scores_gemma":[0.006633533,0.0009776908,0.001122912,0.01041873,0.0004618891,0.002429983,0.002626416,0.002078771,0.2259492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673349,"about_ca_system_score_gemma":0.002486269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02309999,"about_ca_topic_score_gemma":0.03788932,"domain_scores_codex":[0.9988351,0.0001609334,0.000158785,0.0004026159,0.0002585782,0.0001838739],"domain_scores_gemma":[0.9971092,0.0008294117,0.0002785687,0.0007447156,0.0007330934,0.0003050406],"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":[0.00002572997,0.00001002175,0.0003780375,0.0005124756,0.00001383715,0.00001427424,0.00002553205,0.0001101518,0.00009977173,0.0003919842,0.9971477,0.001270475],"study_design_scores_gemma":[0.00006482781,0.000006696778,0.001780804,0.0001889185,0.00001315159,0.00003486199,0.00007748463,0.000129451,0.0001603664,0.0007525299,0.9967734,0.00001740468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003358766,0.00002135888,0.00004237271,0.00003184526,0.00001040731,0.000004598354,0.9989372,0.0003218801,0.000596812],"genre_scores_gemma":[0.0001521558,0.00003086849,0.0002008144,0.00004182995,0.000003311609,0.00004197669,0.9989095,0.0001560125,0.0004635805],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8315935,"threshold_uncertainty_score":0.5633758,"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."}}