{"id":"W6943721626","doi":"10.15468/dl.wqhvm8","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); Range (aeronautics); R package; Data collection","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":[0.0009585918,0.00201362,0.00163718,0.004871778,0.0009848225,0.002426083,0.002827262,0.002115408,0.1426],"category_scores_gemma":[0.005473353,0.0009169988,0.001214128,0.009685549,0.0004553658,0.002120778,0.00257689,0.001935291,0.2048928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623812,"about_ca_system_score_gemma":0.002330335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02298452,"about_ca_topic_score_gemma":0.03777616,"domain_scores_codex":[0.9990238,0.0001293654,0.0001278009,0.0003347687,0.0002177723,0.0001665012],"domain_scores_gemma":[0.9978236,0.0005936184,0.000208318,0.0005782738,0.0005451504,0.0002511357],"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":[0.00003205959,0.00001226089,0.0004432748,0.0006305297,0.00001831047,0.00001710828,0.00002949654,0.0001612301,0.00016517,0.0004052671,0.9964231,0.00166217],"study_design_scores_gemma":[0.00007350592,0.00000835103,0.002013336,0.0001997774,0.00001627131,0.00003922253,0.00007987192,0.0001678719,0.000214727,0.0007124139,0.9964558,0.00001890379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004529941,0.00002819461,0.00004728554,0.00003177009,0.00001182645,0.000005173688,0.9988589,0.0003889013,0.0005826805],"genre_scores_gemma":[0.0001625635,0.00003140391,0.0002051449,0.00003866369,0.000002936117,0.00003915733,0.9989989,0.0001403387,0.0003808173],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8574001,"threshold_uncertainty_score":0.4770444,"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."}}