{"id":"W6924813040","doi":"10.15468/dl.x6vv39","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); Data set; Task (project management)","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":[0.001088831,0.00189183,0.001638369,0.005448378,0.001017849,0.002788519,0.002839636,0.002057567,0.1656285],"category_scores_gemma":[0.006617769,0.0009816333,0.001133863,0.01055472,0.0004560087,0.002413724,0.002580906,0.002027081,0.2230479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620122,"about_ca_system_score_gemma":0.002408085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0210049,"about_ca_topic_score_gemma":0.03366322,"domain_scores_codex":[0.9988305,0.0001585913,0.0001592046,0.0004115282,0.0002548298,0.000185389],"domain_scores_gemma":[0.9972149,0.0008310566,0.0002741782,0.0007092785,0.0006603566,0.0003102964],"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":[0.00002945539,0.00001042096,0.0003880929,0.0005667559,0.00001561257,0.00001573859,0.00002494569,0.0001185343,0.000113477,0.0004059827,0.9969804,0.001330613],"study_design_scores_gemma":[0.00006879378,0.000007368796,0.001834521,0.000202384,0.00001486228,0.00003761684,0.00007423577,0.0001349746,0.0001699199,0.0007620582,0.9966755,0.00001782131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003478011,0.00002289856,0.00004079153,0.00003215405,0.00001055787,0.00000429266,0.9989882,0.0003034101,0.0005628112],"genre_scores_gemma":[0.0001527323,0.00003312324,0.0001848044,0.00004282992,0.000003389038,0.00003795092,0.9989474,0.0001477467,0.0004500069],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8343714,"threshold_uncertainty_score":0.5540826,"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."}}