{"id":"W6905794597","doi":"10.15468/dl.nbgyva","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Geographic coordinate conversion; Reprojection error","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":[0.0009275427,0.001988383,0.001547211,0.004905317,0.00103952,0.002906865,0.002852986,0.001761808,0.1784956],"category_scores_gemma":[0.006119779,0.0009584616,0.0013346,0.009435474,0.0004196505,0.002426082,0.002754607,0.001904386,0.2549001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457701,"about_ca_system_score_gemma":0.002316928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0195255,"about_ca_topic_score_gemma":0.0311702,"domain_scores_codex":[0.9989157,0.0001363375,0.0001405216,0.0003923593,0.0002327992,0.0001823851],"domain_scores_gemma":[0.9976164,0.000638387,0.0002055101,0.0006552083,0.0006330555,0.0002515396],"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":[0.00003254236,0.00001003346,0.0003801851,0.000538738,0.00001425824,0.00001552443,0.00002442998,0.0001154198,0.0001280712,0.0003969779,0.9964358,0.001907966],"study_design_scores_gemma":[0.00005684091,0.00000787131,0.001505705,0.0001518298,0.00001269802,0.00003647454,0.00006386293,0.0001467775,0.0001902445,0.0007877731,0.9970233,0.00001674978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004681465,0.00003125421,0.00006821842,0.00003934418,0.00001602778,0.000006438319,0.9981976,0.000718487,0.0008759305],"genre_scores_gemma":[0.000172548,0.00004054582,0.0002750607,0.00005143191,0.000004301539,0.00004680036,0.9985259,0.0002578695,0.0006255247],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8215044,"threshold_uncertainty_score":0.5971273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}