{"id":"W7104367618","doi":"10.15468/dl.3pusjh","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Transect; Norwegian; Invertebrate; Range (aeronautics); Alien; Footprint; Bay","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":[0.001044229,0.002273435,0.001941291,0.00541032,0.001094628,0.00339959,0.003093858,0.002187478,0.2180818],"category_scores_gemma":[0.007077775,0.00103185,0.001636374,0.009760901,0.0003609961,0.003333778,0.003359986,0.002027861,0.3414003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642758,"about_ca_system_score_gemma":0.002053506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0182585,"about_ca_topic_score_gemma":0.02749439,"domain_scores_codex":[0.9986448,0.0001568531,0.0001883859,0.0005043388,0.0002885004,0.0002172676],"domain_scores_gemma":[0.997131,0.0007131159,0.0002479047,0.0007724119,0.0008359047,0.0002996213],"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":[0.00004733531,0.00001349351,0.0004875369,0.000567759,0.00001765561,0.00001954354,0.00002446889,0.0001280065,0.0001207059,0.000359218,0.995335,0.002879288],"study_design_scores_gemma":[0.00006263208,0.00001163837,0.001613118,0.0001717335,0.00001336714,0.00003812547,0.00007113515,0.0002238274,0.0001913811,0.0008086922,0.9967754,0.00001878237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005123828,0.00003466734,0.00008413369,0.00004739977,0.00001852092,0.000008249706,0.997787,0.001047807,0.000921044],"genre_scores_gemma":[0.0001901084,0.00004229189,0.000364751,0.00006794168,0.000005442079,0.00004903653,0.9982011,0.0003490645,0.0007302479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7819182,"threshold_uncertainty_score":0.7295563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}