{"id":"W7104425351","doi":"10.15468/dl.qk2tmn","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; Download; 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":[0.000927123,0.002325842,0.001988725,0.005526696,0.001227765,0.003779665,0.003054819,0.002303867,0.2713097],"category_scores_gemma":[0.006848566,0.0009362306,0.001697053,0.00844183,0.0003585498,0.003710352,0.003530632,0.002151939,0.3444048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510563,"about_ca_system_score_gemma":0.002049871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01494748,"about_ca_topic_score_gemma":0.0261472,"domain_scores_codex":[0.9987375,0.0001399264,0.0001858148,0.0004799841,0.0002696588,0.0001870276],"domain_scores_gemma":[0.9974026,0.0007075733,0.0002018824,0.0006599551,0.0007427438,0.0002851313],"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":[0.00005538249,0.00001661687,0.0004066814,0.0005283768,0.00001549974,0.0000255229,0.00002086307,0.0001167896,0.0001041348,0.0004196724,0.9947465,0.003543887],"study_design_scores_gemma":[0.00008032194,0.00001691214,0.00146394,0.0001761385,0.00001541048,0.00005682754,0.00007648762,0.0003492866,0.000200292,0.001375663,0.9961665,0.00002225641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007481434,0.00005065828,0.0001461994,0.00007075725,0.00002939276,0.00001331193,0.9963786,0.001671542,0.001564771],"genre_scores_gemma":[0.0002572105,0.00005235809,0.0005331797,0.00009445042,0.000008929692,0.0000596618,0.9975669,0.0003755407,0.001051692],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7286903,"threshold_uncertainty_score":0.9076214,"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."}}