{"id":"W6943599452","doi":"10.15468/dl.pwxwrz","title":"Occurrence Download","year":2022,"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)","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":[0.001159964,0.002018176,0.001665547,0.005362172,0.001072676,0.00278207,0.003066025,0.002064338,0.1747388],"category_scores_gemma":[0.006658802,0.0009896335,0.001192673,0.01030285,0.0004795427,0.00246535,0.002704029,0.002085939,0.2410701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645995,"about_ca_system_score_gemma":0.002493344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02226806,"about_ca_topic_score_gemma":0.03726967,"domain_scores_codex":[0.9988281,0.0001581308,0.0001519155,0.0004110842,0.0002630226,0.0001877022],"domain_scores_gemma":[0.9972456,0.0007934418,0.0002545705,0.0007341052,0.0006575015,0.0003148177],"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":[0.00002596451,0.00001011591,0.0003364061,0.0004945901,0.00001407371,0.0000139827,0.00002372213,0.0001076543,0.0001090803,0.0003776462,0.9972277,0.001259016],"study_design_scores_gemma":[0.00006391903,0.000006756073,0.001606778,0.0001824412,0.00001383768,0.00003589251,0.00007002412,0.0001307256,0.0001779409,0.0007583029,0.9969364,0.00001695845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003560967,0.00002397902,0.00004735035,0.00003325618,0.00001138808,0.000004831767,0.9988229,0.0003733816,0.0006472738],"genre_scores_gemma":[0.0001383533,0.00003055193,0.0001916075,0.00004151877,0.000003124501,0.00003865357,0.9989317,0.0001647805,0.0004595979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8252612,"threshold_uncertainty_score":0.5845594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}