{"id":"W6962385833","doi":"10.15468/dl.nsoe9y","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":[0.0008867182,0.002088476,0.001613104,0.005389095,0.0008712079,0.002588495,0.00282421,0.001809104,0.1440121],"category_scores_gemma":[0.005877011,0.0009178958,0.001176873,0.01130485,0.0004048011,0.002357533,0.002673063,0.001860656,0.2083324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613394,"about_ca_system_score_gemma":0.002600216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0242472,"about_ca_topic_score_gemma":0.04137592,"domain_scores_codex":[0.9989184,0.0001340727,0.0001495217,0.0003765336,0.0002435639,0.000177908],"domain_scores_gemma":[0.9975652,0.0006015782,0.0002682017,0.0006294249,0.0006412365,0.0002945209],"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":[0.00002957042,0.000009734045,0.0004086903,0.0005140454,0.00001518972,0.00001377255,0.00002169826,0.0001145525,0.0001062487,0.0004240737,0.9969157,0.001426637],"study_design_scores_gemma":[0.00006157931,0.000007088002,0.001779973,0.0001716023,0.00001382904,0.00003393249,0.0000538003,0.0001230868,0.0001782376,0.0007512521,0.9968086,0.00001690654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003876477,0.00002663583,0.00003851052,0.00002891758,0.0000105375,0.000004163506,0.9988776,0.0003374767,0.000637425],"genre_scores_gemma":[0.0001390773,0.00003524228,0.0001603166,0.00003729372,0.000003094825,0.0000315515,0.9989843,0.0001252783,0.0004839295],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8559879,"threshold_uncertainty_score":0.4817685,"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."}}