{"id":"W6943642284","doi":"10.15468/dl.rvgt28","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); Alien; The Internet","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":[0.001012941,0.001972927,0.001585798,0.005265706,0.001028739,0.002729446,0.002828116,0.002087377,0.176593],"category_scores_gemma":[0.00628818,0.0009166014,0.001284202,0.009671316,0.0004627333,0.002429447,0.002713894,0.002023828,0.2459486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603841,"about_ca_system_score_gemma":0.002375669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02229537,"about_ca_topic_score_gemma":0.03583307,"domain_scores_codex":[0.9989791,0.00014,0.0001239066,0.0003597658,0.0002229177,0.0001743364],"domain_scores_gemma":[0.9974117,0.0007717795,0.0002212641,0.0006662441,0.000639405,0.0002895821],"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":[0.00002584807,0.00001100439,0.0003662863,0.0005340029,0.00001327752,0.00001514804,0.00002422874,0.0001077736,0.0001113154,0.0003457108,0.9970573,0.001388003],"study_design_scores_gemma":[0.00006696865,0.00000863463,0.00189224,0.0002216986,0.00001495403,0.00003892198,0.00008418444,0.0001440584,0.0001902148,0.0007652749,0.996555,0.00001787771],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004116929,0.00002870384,0.0000445474,0.00003994951,0.00001301573,0.000005931173,0.9987528,0.0004011878,0.0006727239],"genre_scores_gemma":[0.0001579333,0.00003621505,0.000198688,0.00005047525,0.000003895613,0.00004748988,0.9988243,0.0001621527,0.0005187871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8234071,"threshold_uncertainty_score":0.5907624,"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."}}