{"id":"W6924568253","doi":"10.15468/dl.kjffqw","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); Listing (finance); Range (aeronautics); 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":[0.0009894982,0.002053848,0.001663037,0.004909541,0.001024806,0.002804081,0.002900046,0.002012262,0.2247195],"category_scores_gemma":[0.006365492,0.001066745,0.001198353,0.009745847,0.0004668781,0.002700615,0.002922024,0.002124489,0.3043122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001850833,"about_ca_system_score_gemma":0.002430912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02486608,"about_ca_topic_score_gemma":0.04007199,"domain_scores_codex":[0.9990698,0.0001133717,0.0001063648,0.0003110913,0.0002289175,0.0001705791],"domain_scores_gemma":[0.9976463,0.0006334244,0.000198006,0.0006035558,0.0006508461,0.0002678127],"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":[0.0000219816,0.000008100219,0.0002466108,0.0004664507,0.00001087313,0.00001135506,0.00002051329,0.00008846008,0.00008439479,0.0003462342,0.9973353,0.001359757],"study_design_scores_gemma":[0.00006142527,0.000005675588,0.001299759,0.000195012,0.00001081117,0.00002752006,0.00006233791,0.000115168,0.0001615683,0.0008186388,0.9972265,0.00001556079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000240517,0.00002042585,0.00004456411,0.00003086992,0.00000985916,0.000005046792,0.9986463,0.0004572094,0.0007616309],"genre_scores_gemma":[0.000147043,0.00003796605,0.000245702,0.00005219581,0.000003634552,0.0000503087,0.9985769,0.0002798162,0.0006064673],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7752805,"threshold_uncertainty_score":0.7517616,"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."}}