{"id":"W6905906446","doi":"10.15468/dl.rc2aak","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); Order (exchange); Identification (biology)","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":[0.0009103757,0.002084554,0.001637602,0.004498634,0.0009989429,0.002468967,0.002879372,0.002125292,0.1279772],"category_scores_gemma":[0.005365214,0.0008978333,0.001256895,0.009040535,0.0004452015,0.002232341,0.002499865,0.002036727,0.2025566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642042,"about_ca_system_score_gemma":0.002277398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0223045,"about_ca_topic_score_gemma":0.03641551,"domain_scores_codex":[0.9990346,0.0001276584,0.0001221036,0.000337945,0.0002187086,0.0001590963],"domain_scores_gemma":[0.9979149,0.0005610061,0.0001960657,0.0005756848,0.0005123172,0.0002400402],"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":[0.00003290055,0.0000124832,0.000432875,0.000563411,0.00001690653,0.00001745245,0.00002614148,0.0001583365,0.0001385894,0.0004061601,0.9965778,0.001616825],"study_design_scores_gemma":[0.00007437257,0.000008607009,0.001925293,0.0001946878,0.00001501975,0.00004306116,0.00007637239,0.000181636,0.0002079881,0.0007846332,0.9964697,0.00001861741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000508194,0.00003263431,0.00005177889,0.00003603463,0.00001317497,0.000005328217,0.9987652,0.0004474182,0.0005976567],"genre_scores_gemma":[0.0001577608,0.00003301915,0.0002003482,0.00003919487,0.00000306517,0.0000372379,0.9990054,0.0001362867,0.0003878064],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8720228,"threshold_uncertainty_score":0.4281263,"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."}}