{"id":"W6961793930","doi":"10.15468/dl.maqhab","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Mathematics and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; 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":[0.0009730305,0.001975475,0.001461991,0.004831735,0.0009666737,0.002527523,0.002679097,0.002065844,0.148643],"category_scores_gemma":[0.006086028,0.0008061589,0.001254332,0.00870542,0.0004476368,0.00219593,0.002424665,0.001944162,0.2210494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563174,"about_ca_system_score_gemma":0.002163181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01801653,"about_ca_topic_score_gemma":0.03017895,"domain_scores_codex":[0.9990072,0.0001431571,0.0001226495,0.0003492295,0.0002199926,0.0001578654],"domain_scores_gemma":[0.9976338,0.0006959092,0.0002067939,0.0006285977,0.00056962,0.0002652063],"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":[0.00002514597,0.000011662,0.00035619,0.000432132,0.00001217738,0.00001351101,0.00001836304,0.0001228878,0.00008790613,0.0003269877,0.9972857,0.001307393],"study_design_scores_gemma":[0.00008489219,0.0000102263,0.001882997,0.0001939983,0.00001390659,0.00004034462,0.00007886808,0.0002211739,0.0001886488,0.0008986036,0.9963692,0.00001708466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005230682,0.00003243115,0.00004831058,0.00004778837,0.00001525554,0.000006704435,0.998691,0.0004415355,0.0006646424],"genre_scores_gemma":[0.0001863885,0.00003727667,0.0002177057,0.00005265383,0.000004972072,0.00005257505,0.9987923,0.0001430608,0.0005132021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.851357,"threshold_uncertainty_score":0.4972603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03722697986032538,"score_gpt":0.2688989427578145,"score_spread":0.2316719628974891,"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."}}