{"id":"W6961994272","doi":"10.15468/dl.s6er7p","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; 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":[0.000942123,0.002073602,0.001522365,0.004837415,0.0009848225,0.00244603,0.002689218,0.001949689,0.1632626],"category_scores_gemma":[0.005857219,0.0009227414,0.001215622,0.009654178,0.0004502652,0.002177845,0.002548293,0.001828474,0.224897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462984,"about_ca_system_score_gemma":0.002319125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02080351,"about_ca_topic_score_gemma":0.0337553,"domain_scores_codex":[0.99898,0.0001381115,0.0001292786,0.00036671,0.000212968,0.0001729336],"domain_scores_gemma":[0.9976058,0.0006859468,0.0002249732,0.0006150306,0.0005936109,0.000274515],"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":[0.00003346758,0.0000121737,0.0003948144,0.0005386688,0.00001431285,0.00001462855,0.00002203932,0.0001288695,0.0001309904,0.0003599532,0.9968849,0.001465285],"study_design_scores_gemma":[0.00007988264,0.00001100247,0.001952485,0.0001847191,0.00001539327,0.0000374556,0.00006990342,0.0001558593,0.0002096658,0.000794725,0.9964699,0.00001913835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004623733,0.00002548459,0.00004114799,0.00003224385,0.00001236307,0.000005058739,0.9988237,0.0003827679,0.0006308721],"genre_scores_gemma":[0.0001533359,0.00003096347,0.0001862401,0.00004329764,0.000003397332,0.00003940615,0.9989292,0.0001476658,0.000466436],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8367374,"threshold_uncertainty_score":0.5461678,"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."}}