{"id":"W6924725559","doi":"10.15468/dl.t73qgv","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics); State (computer science); 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":[0.001099668,0.001987613,0.001492393,0.00462497,0.001039703,0.002556496,0.002763057,0.00214088,0.1400046],"category_scores_gemma":[0.006339066,0.0008816448,0.001236145,0.008594383,0.0004641022,0.002213825,0.002530571,0.002122438,0.2134218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576436,"about_ca_system_score_gemma":0.002332794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01932016,"about_ca_topic_score_gemma":0.03433597,"domain_scores_codex":[0.9989164,0.0001611824,0.0001363402,0.0003757727,0.0002427479,0.0001675472],"domain_scores_gemma":[0.9973438,0.0007915963,0.0002256117,0.0007090253,0.0006208454,0.0003090489],"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":[0.00002627671,0.00001338321,0.000397024,0.0004708699,0.00001277605,0.00001385096,0.00002226176,0.0001203151,0.0001042385,0.000315409,0.997195,0.001308645],"study_design_scores_gemma":[0.00008667618,0.00001042236,0.002100321,0.0001874685,0.00001430249,0.00003883925,0.00008434556,0.0002067668,0.0002138385,0.0008018561,0.9962365,0.00001868926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005609824,0.00002713776,0.00005041593,0.00004412559,0.00001456868,0.000007261711,0.9986508,0.0004819787,0.0006676934],"genre_scores_gemma":[0.0001730781,0.00002982237,0.0002111935,0.00004795111,0.00000392944,0.00005246423,0.9988527,0.0001534638,0.000475322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8599954,"threshold_uncertainty_score":0.468362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463889375982685,"score_gpt":0.283686746752925,"score_spread":0.2590478529930982,"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."}}