{"id":"W6943970054","doi":"10.15468/dl.we8pts","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); Alien; Range (aeronautics); Task (project management)","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":[0.001089953,0.001955422,0.001613875,0.004971478,0.001022606,0.002648775,0.002837822,0.002124766,0.156802],"category_scores_gemma":[0.006534785,0.000945324,0.001254296,0.009904977,0.0004623315,0.002357964,0.002584105,0.002081289,0.2248531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617587,"about_ca_system_score_gemma":0.002453523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02117467,"about_ca_topic_score_gemma":0.0326983,"domain_scores_codex":[0.9988798,0.0001540799,0.0001401841,0.0003989566,0.0002438553,0.0001831116],"domain_scores_gemma":[0.997286,0.000805223,0.0002401366,0.0007258298,0.0006401688,0.0003026358],"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":[0.00003067743,0.00001165623,0.0003755766,0.0005479052,0.00001510236,0.00001467256,0.00002309653,0.000126881,0.0001270643,0.0003793544,0.9969479,0.001400234],"study_design_scores_gemma":[0.00007030911,0.000008975165,0.001947611,0.0002030666,0.000015474,0.00003766166,0.00007363906,0.0001559776,0.0002118391,0.0008079086,0.9964489,0.00001861962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000402479,0.00002579046,0.00004391844,0.00003455993,0.00001150172,0.000005110928,0.9988926,0.0003729814,0.0005732487],"genre_scores_gemma":[0.0001531583,0.00003276981,0.0001872518,0.00004492154,0.000003152267,0.00004176428,0.9989595,0.0001468001,0.00043064],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.843198,"threshold_uncertainty_score":0.524555,"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."}}