{"id":"W6887044761","doi":"10.15468/dl.mp5gq4","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.0009554875,0.00222678,0.001655198,0.004558143,0.001002742,0.00260736,0.003060867,0.001958537,0.1421628],"category_scores_gemma":[0.00620222,0.0009462631,0.001219882,0.009070797,0.000457096,0.002356754,0.00260473,0.00197217,0.1978887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001715995,"about_ca_system_score_gemma":0.0025928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02372668,"about_ca_topic_score_gemma":0.04024084,"domain_scores_codex":[0.9989893,0.0001374255,0.000138806,0.0003636117,0.0002182209,0.0001526994],"domain_scores_gemma":[0.9978293,0.0006141578,0.0002062573,0.0005426965,0.000546547,0.0002610706],"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":[0.00003835202,0.00001252567,0.0003940577,0.0006176141,0.00001719508,0.00001716246,0.00002509432,0.0001497771,0.0001206582,0.0004585083,0.9965592,0.001589905],"study_design_scores_gemma":[0.00008561748,0.000008944958,0.001481968,0.000185775,0.00001557433,0.00004063258,0.00006460294,0.0001971845,0.0001997065,0.0009427971,0.9967586,0.00001860196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000465634,0.00003200479,0.00005665882,0.00003595092,0.00001083252,0.000005832786,0.9985635,0.0005716085,0.0006770114],"genre_scores_gemma":[0.0001615561,0.00003928581,0.0002479267,0.00004623238,0.000002760255,0.00003736415,0.9988254,0.0001946747,0.0004448949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8578372,"threshold_uncertainty_score":0.475582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0089153214616674,"score_gpt":0.2136767702076688,"score_spread":0.2047614487460014,"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."}}