{"id":"W6906045842","doi":"10.15468/dl.z2knzj","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aceraceae; Saccharum; Matching (statistics); Range (aeronautics); Ratooning","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":[0.0008691243,0.001853007,0.001613924,0.005698024,0.001056273,0.002852418,0.002603704,0.002098238,0.1400049],"category_scores_gemma":[0.005814373,0.0008697432,0.001270278,0.01085419,0.0004144538,0.002468449,0.002594364,0.001947079,0.2077024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637705,"about_ca_system_score_gemma":0.002208762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01765407,"about_ca_topic_score_gemma":0.02839894,"domain_scores_codex":[0.9989097,0.0001355977,0.0001561865,0.0003844737,0.000234006,0.0001799816],"domain_scores_gemma":[0.9977325,0.0006221776,0.0002097818,0.0005856744,0.0005999162,0.0002498525],"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":[0.00004028186,0.00001337044,0.0005539334,0.0008971685,0.00002047755,0.00002338866,0.00003148841,0.0001579591,0.0001767259,0.000508044,0.9952008,0.002376382],"study_design_scores_gemma":[0.00005874093,0.000008795074,0.001899355,0.0002318271,0.00001589687,0.00004539584,0.00007882069,0.0001633405,0.0001736038,0.0006744395,0.9966332,0.00001659845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005311681,0.0000463751,0.00005064184,0.00004112091,0.00001419597,0.000005728939,0.9986615,0.0004147474,0.0007126055],"genre_scores_gemma":[0.000176443,0.00005468968,0.0002270255,0.00004682177,0.00000400112,0.00003896132,0.9988636,0.0001250101,0.0004633806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8599951,"threshold_uncertainty_score":0.4683632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}