{"id":"W6924635184","doi":"10.15468/dl.uq9shu","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; 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":[0.0008670085,0.002170475,0.00168599,0.005252609,0.0009170762,0.002620021,0.00294805,0.00192048,0.143471],"category_scores_gemma":[0.00579124,0.0009265481,0.001227815,0.01067011,0.00042261,0.002372701,0.002655805,0.001893988,0.2134217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631777,"about_ca_system_score_gemma":0.00246522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02366806,"about_ca_topic_score_gemma":0.03962603,"domain_scores_codex":[0.9989036,0.0001402267,0.0001447974,0.0003841042,0.0002455003,0.0001816326],"domain_scores_gemma":[0.9976634,0.0005932803,0.0002562442,0.0006096909,0.0005964502,0.000280879],"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":[0.00003101217,0.000009832904,0.0004018986,0.0005245211,0.00001584349,0.00001451252,0.00002110629,0.0001237119,0.0001050039,0.0003882199,0.9969333,0.001430872],"study_design_scores_gemma":[0.00006703176,0.000008084358,0.001788682,0.0001786665,0.00001492563,0.00003799649,0.00005535099,0.0001414807,0.000177304,0.0007443816,0.9967685,0.00001766617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004232498,0.00003261511,0.0000397027,0.00003216839,0.0000116069,0.000004149579,0.9988526,0.0003637553,0.0006210773],"genre_scores_gemma":[0.0001468591,0.00003927889,0.0001613009,0.00003973618,0.00000337761,0.00003207354,0.9989513,0.000129591,0.0004964062],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.856529,"threshold_uncertainty_score":0.4799583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}