{"id":"W6887085303","doi":"10.15468/dl.n2x37m","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.0009635299,0.00203574,0.001626261,0.005100179,0.001063544,0.002522042,0.002821177,0.002044763,0.1653346],"category_scores_gemma":[0.006028603,0.0009441372,0.001186394,0.009944978,0.000456347,0.002389927,0.002647139,0.001960091,0.2216813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015952,"about_ca_system_score_gemma":0.002340834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02014057,"about_ca_topic_score_gemma":0.0335208,"domain_scores_codex":[0.9988944,0.0001481873,0.0001448293,0.0003995577,0.0002262656,0.0001868235],"domain_scores_gemma":[0.9976062,0.0006668547,0.000231723,0.0005989901,0.0006121136,0.00028416],"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":[0.0000338329,0.00001214476,0.0003703148,0.0006099278,0.0000147138,0.00001542263,0.00002263161,0.0001203126,0.0001350813,0.000380195,0.9968742,0.001411251],"study_design_scores_gemma":[0.00007660911,0.000009962848,0.001761459,0.0002018302,0.00001488557,0.00003831126,0.00006805197,0.0001360229,0.0001862263,0.0007653006,0.9967226,0.00001869356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004345044,0.00002897384,0.00004018364,0.00003367794,0.00001225816,0.000005160869,0.9988912,0.0003261893,0.0006190139],"genre_scores_gemma":[0.0001454991,0.00003559186,0.0001841368,0.00004571872,0.000003308699,0.00004101237,0.998946,0.000136065,0.0004626304],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8346654,"threshold_uncertainty_score":0.5530992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}