{"id":"W6943346220","doi":"10.15468/dl.n5xjs7","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics)","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":[0.001086615,0.00195224,0.001595118,0.004667619,0.001009776,0.002559222,0.00282776,0.002134681,0.1510544],"category_scores_gemma":[0.006218981,0.0008890734,0.001255464,0.009000208,0.0004485714,0.002246217,0.002515506,0.002054033,0.2213433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578103,"about_ca_system_score_gemma":0.002342382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02024546,"about_ca_topic_score_gemma":0.03216559,"domain_scores_codex":[0.998929,0.0001499521,0.0001327304,0.0003753827,0.0002365789,0.0001762862],"domain_scores_gemma":[0.9974192,0.0007543472,0.0002281408,0.0006885828,0.0006191105,0.0002905196],"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":[0.00003144777,0.00001280236,0.0003852398,0.0005598707,0.00001481022,0.00001541987,0.00002316579,0.0001259726,0.0001388544,0.0003700473,0.9968572,0.001465087],"study_design_scores_gemma":[0.00007605862,0.000009305154,0.00196069,0.0002103941,0.00001489389,0.00003667247,0.00007396762,0.0001516547,0.0002159109,0.0007568306,0.9964755,0.0000180278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004465823,0.0000268967,0.00004380825,0.00003688609,0.00001232619,0.000005846205,0.9988325,0.0003768962,0.0006201859],"genre_scores_gemma":[0.0001510007,0.00003137942,0.0001816371,0.00004244037,0.000003264352,0.00004353329,0.9989849,0.0001319608,0.00042981],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8489456,"threshold_uncertainty_score":0.5053275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}