{"id":"W6887083104","doi":"10.15468/dl.k7amer","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); Set (abstract data type); Order (exchange)","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":[0.0009386283,0.001908173,0.00154716,0.004642172,0.0009514572,0.002437818,0.002763012,0.002061892,0.1445387],"category_scores_gemma":[0.005719978,0.0008868753,0.001171187,0.009013829,0.0004332797,0.002200987,0.002507547,0.001975169,0.201279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549106,"about_ca_system_score_gemma":0.002191125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.021135,"about_ca_topic_score_gemma":0.03465982,"domain_scores_codex":[0.9990056,0.0001311518,0.0001255696,0.0003485382,0.0002246101,0.0001645348],"domain_scores_gemma":[0.9977468,0.0006383901,0.0002165303,0.0006036195,0.0005290924,0.0002657112],"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":[0.00002910389,0.00001129693,0.0003999315,0.0005156639,0.00001515415,0.00001466638,0.00002489874,0.0001358804,0.0001211593,0.0003872833,0.9969069,0.001438044],"study_design_scores_gemma":[0.00007595466,0.000008345414,0.001979592,0.0001949696,0.00001497075,0.0000387762,0.00007447648,0.0001765154,0.0001921955,0.0007599209,0.9964669,0.00001737886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004507372,0.00002737202,0.00004736764,0.00003640149,0.00001228789,0.000005071267,0.9988236,0.0004020631,0.0006006754],"genre_scores_gemma":[0.0001661708,0.00003213092,0.00019967,0.00004404893,0.000003249038,0.00004015136,0.9989421,0.0001506303,0.0004218627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8554613,"threshold_uncertainty_score":0.4835301,"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."}}