{"id":"W6924836935","doi":"10.15468/dl.skpfnx","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Science Education and Perceptions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003803512,0.0002083452,0.000182537,0.000147747,0.0006465929,0.0001180577,0.0007535625,0.0002261129,0.7409021],"category_scores_gemma":[0.00009186271,0.0002284311,0.0001422669,0.0006051126,0.0002185491,0.0005635946,0.0002643072,0.0003948751,0.489084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004080661,"about_ca_system_score_gemma":0.000220148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001521575,"about_ca_topic_score_gemma":0.00002319916,"domain_scores_codex":[0.9984303,0.0001458253,0.0003388432,0.000274447,0.000503375,0.0003072814],"domain_scores_gemma":[0.9987197,0.00002726792,0.0002506853,0.0006799206,0.000142177,0.0001802428],"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":[0.00002500917,0.00008981994,0.001173782,0.00001764593,0.00001816318,9.735259e-7,0.0006362458,0.000003510161,8.632958e-9,6.892115e-7,0.996362,0.001672206],"study_design_scores_gemma":[0.0002058755,0.00003599498,0.001191989,3.477133e-7,0.00002910858,0.00001038927,0.003411542,1.361814e-8,3.576329e-8,7.398377e-7,0.994885,0.0002289822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005778536,0.00001415612,0.000001802543,0.0004445832,0.004716713,0.0002796976,0.9923332,0.00008929217,0.001542713],"genre_scores_gemma":[0.00001051838,0.00001944066,5.715236e-7,0.001583184,0.000002731634,0.00002244848,0.9983584,9.703096e-9,0.000002650291],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.251818,"threshold_uncertainty_score":0.9315149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0427365588188086,"score_gpt":0.3081557695639437,"score_spread":0.2654192107451351,"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."}}