{"id":"W6901889989","doi":"10.6073/pasta/3bd2c920cf431442d34227f3f5fc7c2a","title":"Food Web of Sarracenia Purpurea in United States and Canada since 1999","year":2018,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food web; Metacommunity; Range (aeronautics); Community structure; Variation (astronomy)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003773717,0.0007050844,0.0007621575,0.0004533866,0.0001008367,0.00003740836,0.001510765,0.0002711459,0.0006361099],"category_scores_gemma":[0.0002055959,0.0007473618,0.00002674261,0.0003442329,0.001168299,0.0006197059,0.002485129,0.0007124356,0.0002107454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009932197,"about_ca_system_score_gemma":0.0005867871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6094893,"about_ca_topic_score_gemma":0.9638416,"domain_scores_codex":[0.9962283,0.0004425573,0.0007710095,0.001112023,0.0008776645,0.0005683991],"domain_scores_gemma":[0.9965076,0.0003985766,0.0008212265,0.002043775,0.00001209503,0.0002166922],"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":[0.0001741144,0.0002633804,0.001424472,0.0001009928,0.0002446626,0.0001000286,0.0001207633,0.000005902657,0.00008836798,0.000001281191,0.9974583,0.00001772718],"study_design_scores_gemma":[0.001229395,0.0004545951,0.005075683,0.0002764615,0.0001515649,0.00001681964,0.001200037,0.000121305,0.0002431782,0.00001543338,0.9905135,0.0007020003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03118606,0.0005325325,3.475366e-7,0.0000375946,0.0001335192,0.0006685097,0.9673957,0.00001249324,0.00003324397],"genre_scores_gemma":[0.01420743,0.002012252,0.0001044841,0.0003358514,0.00007195508,0.00003263714,0.9831284,0.00009994681,0.000007101726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3543523,"threshold_uncertainty_score":0.9994977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484400243509885,"score_gpt":0.2389872634401971,"score_spread":0.2141432610050982,"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."}}