{"id":"W6887108322","doi":"10.15468/dl.mnnp4u","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":"Download; Matching (statistics); Range (aeronautics); Data set; Alien","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":[0.0009591888,0.001975241,0.001537949,0.004356444,0.001028137,0.002538317,0.002741074,0.002154143,0.1637159],"category_scores_gemma":[0.005926404,0.0009101996,0.001286833,0.008277362,0.0004493216,0.00247037,0.002618784,0.002030117,0.2285506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466593,"about_ca_system_score_gemma":0.002205622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01993107,"about_ca_topic_score_gemma":0.03418445,"domain_scores_codex":[0.9990101,0.0001401377,0.0001178521,0.0003584545,0.0002127913,0.0001605828],"domain_scores_gemma":[0.9975395,0.000726364,0.0002103285,0.0006757672,0.0005623263,0.0002856236],"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":[0.00002658797,0.00001164819,0.0003397899,0.000447624,0.00001221974,0.00001385627,0.00002057098,0.0001135706,0.00009953278,0.0003142384,0.997313,0.001287319],"study_design_scores_gemma":[0.00007794328,0.000009920127,0.001905464,0.0001891658,0.00001387972,0.00003930535,0.0000754722,0.0001814479,0.0001918309,0.0008118621,0.9964851,0.0000185528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005058397,0.00002923329,0.00005095733,0.00004737295,0.00001589887,0.000006690753,0.9986129,0.0004862424,0.0007002154],"genre_scores_gemma":[0.0001755821,0.00003435339,0.0002202717,0.00005645437,0.000004345139,0.00004976847,0.9987619,0.0001702634,0.0005270048],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8362842,"threshold_uncertainty_score":0.5476841,"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."}}