{"id":"W6943404117","doi":"10.15468/dl.sbue6n","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":"Whale; Norwegian; Download; Range (aeronautics); Fishing","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":["insufficient_payload"],"category_scores_codex":[0.000769529,0.002287065,0.001849933,0.005688388,0.001168645,0.003555368,0.00273638,0.002159833,0.3192746],"category_scores_gemma":[0.005861553,0.0009247145,0.001591651,0.008392314,0.0003252984,0.003647771,0.003369391,0.002111586,0.3965156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506424,"about_ca_system_score_gemma":0.00209175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01591549,"about_ca_topic_score_gemma":0.02804793,"domain_scores_codex":[0.9989225,0.0001092301,0.0001595296,0.0003888871,0.0002451996,0.000174661],"domain_scores_gemma":[0.9977145,0.0005621901,0.0001795541,0.0005328082,0.00071957,0.0002913304],"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":[0.00004422901,0.00001478649,0.000359527,0.000528174,0.00001249535,0.00002510036,0.00002002788,0.0000986949,0.0001015123,0.0003884021,0.9951947,0.003212316],"study_design_scores_gemma":[0.00007545356,0.00001457024,0.001406733,0.0001601736,0.0000134494,0.00005813076,0.00008249498,0.0003296032,0.0001973095,0.001245629,0.9963958,0.00002064533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007305839,0.00005571188,0.0001372353,0.00007375707,0.00003140429,0.00001419329,0.9957752,0.001734186,0.002105418],"genre_scores_gemma":[0.0002938937,0.00006390997,0.0005493294,0.00009394356,0.0000108771,0.00006132755,0.9969427,0.0004417236,0.001542291],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6807255,"threshold_uncertainty_score":0.9709722,"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."}}