{"id":"W6887098705","doi":"10.15468/dl.n2kkup","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); State (computer science)","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":[0.0009482304,0.002034112,0.001537409,0.004783664,0.001007879,0.002481041,0.002679722,0.001967157,0.1509533],"category_scores_gemma":[0.005925073,0.0009080184,0.001232128,0.009565817,0.0004314587,0.002257001,0.002524993,0.001865234,0.208877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001487391,"about_ca_system_score_gemma":0.002319365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02036931,"about_ca_topic_score_gemma":0.03343648,"domain_scores_codex":[0.9989387,0.0001454931,0.0001375041,0.0003821082,0.000221069,0.0001750692],"domain_scores_gemma":[0.9976225,0.0006832586,0.0002217979,0.0006065471,0.0006008339,0.0002649939],"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":[0.00003457169,0.00001274535,0.0004214656,0.0005548836,0.00001482195,0.00001554612,0.00002203153,0.0001308986,0.0001328945,0.0003746075,0.9967685,0.00151716],"study_design_scores_gemma":[0.00007709169,0.00001082685,0.001973345,0.0001919344,0.00001552165,0.00003963654,0.000070739,0.0001634168,0.0002096643,0.0008074191,0.9964209,0.0000194868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004866863,0.00002733142,0.00004391782,0.00003468782,0.0000125815,0.000005320677,0.9988005,0.000387061,0.0006399198],"genre_scores_gemma":[0.0001589559,0.0000323962,0.0001974732,0.00004473759,0.000003451649,0.00004071874,0.9989303,0.0001397124,0.0004523107],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8490466,"threshold_uncertainty_score":0.5049893,"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."}}