{"id":"W6905854008","doi":"10.15468/dl.wzhqu6","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; Alien; State (computer science); Range (aeronautics)","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":[0.0009505542,0.002016653,0.00157022,0.004827806,0.000956904,0.002503329,0.002654413,0.001953883,0.1721519],"category_scores_gemma":[0.006192526,0.0009308228,0.001200475,0.009515404,0.0004394341,0.002123302,0.002474627,0.001871063,0.2262473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536086,"about_ca_system_score_gemma":0.002334417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02143609,"about_ca_topic_score_gemma":0.03431534,"domain_scores_codex":[0.9989876,0.000137905,0.0001239046,0.0003714944,0.0002127443,0.0001664653],"domain_scores_gemma":[0.9975803,0.0007283958,0.0002279397,0.0006045758,0.0005908153,0.0002679054],"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":[0.00003076758,0.00001092022,0.0003656055,0.0005616412,0.00001471826,0.00001337634,0.00002161009,0.0001274875,0.00011517,0.000348026,0.9970067,0.001383956],"study_design_scores_gemma":[0.00008118889,0.00001034054,0.001833986,0.0001954492,0.00001606001,0.00003454492,0.00006509236,0.0001553288,0.000190232,0.0008069867,0.9965922,0.00001852947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004032065,0.00002617844,0.00004025338,0.00003440228,0.00001177765,0.000005086245,0.9988715,0.0003724161,0.0005980564],"genre_scores_gemma":[0.0001637107,0.00003610029,0.0001997593,0.00005071539,0.000003685946,0.00004642119,0.998806,0.0001686285,0.0005249606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8278481,"threshold_uncertainty_score":0.5759053,"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."}}