{"id":"W6906091578","doi":"10.15468/dl.wfsqf6","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); Range (aeronautics); Download; Data set; Set (abstract data type)","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":[0.0009082175,0.002022639,0.001617227,0.005221052,0.0009373351,0.002550588,0.00265223,0.001895863,0.1743633],"category_scores_gemma":[0.005687452,0.0009615523,0.001122921,0.01041882,0.0004350394,0.002263613,0.002587051,0.00183071,0.233514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477455,"about_ca_system_score_gemma":0.002247509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0186867,"about_ca_topic_score_gemma":0.03189882,"domain_scores_codex":[0.99898,0.000136431,0.0001331482,0.000367305,0.0002131429,0.0001699059],"domain_scores_gemma":[0.9975849,0.000665857,0.0002445989,0.0006250124,0.0006046352,0.0002749103],"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":[0.00003420023,0.00001106796,0.0003807507,0.000613577,0.00001560148,0.00001432271,0.00002331928,0.0001192997,0.0001366649,0.000404554,0.9967316,0.001515179],"study_design_scores_gemma":[0.00006963925,0.000008328954,0.001714697,0.0001800241,0.00001453769,0.00003368346,0.0000571959,0.0001179904,0.0001880509,0.0007505665,0.9968478,0.00001754965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003882837,0.00002629221,0.0000395598,0.0000280073,0.00001024018,0.000004445239,0.9988851,0.0003295935,0.000638055],"genre_scores_gemma":[0.0001559733,0.00003579605,0.000192094,0.00004486864,0.000003390846,0.00004021006,0.9988638,0.0001553251,0.0005084754],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8256367,"threshold_uncertainty_score":0.5833034,"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."}}