{"id":"W6887276606","doi":"10.15468/dl.xkts2g","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; Range (aeronautics); Download; Zoogeography; Population","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":[0.0007763825,0.002343827,0.001870655,0.005741905,0.001245839,0.003678652,0.002822034,0.002258979,0.3307845],"category_scores_gemma":[0.005940388,0.0009593287,0.001653586,0.008477953,0.0003328723,0.00389013,0.003563165,0.002204941,0.4069968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520367,"about_ca_system_score_gemma":0.002119438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01644931,"about_ca_topic_score_gemma":0.02958817,"domain_scores_codex":[0.9989103,0.000110976,0.0001563098,0.0003953152,0.0002496605,0.000177388],"domain_scores_gemma":[0.9977019,0.0005667289,0.0001725642,0.0005470806,0.0007183795,0.0002933494],"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":[0.00004151188,0.0000141892,0.0003314352,0.0004960946,0.00001171908,0.00002473034,0.0000199829,0.00009245305,0.00009530735,0.0003833712,0.9954017,0.003087478],"study_design_scores_gemma":[0.00007372681,0.00001388798,0.001307253,0.0001529005,0.00001275997,0.00005860963,0.00008272301,0.0003206532,0.0001868088,0.001299288,0.9964703,0.00002101923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007439718,0.00005707233,0.0001567526,0.00008070587,0.00003455609,0.0000155796,0.9951819,0.002032331,0.002366746],"genre_scores_gemma":[0.0002946452,0.00006420761,0.0006152485,0.0001024086,0.00001142047,0.00006544984,0.9966404,0.0005247662,0.001681496],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6692156,"threshold_uncertainty_score":0.9545547,"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."}}