{"id":"W6923490137","doi":"10.1371/journal.pone.0287691.t002","title":"Estimated US Broccoli imports from Mexico and Canada in 2007 and 2017.","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Yield (engineering); Quality (philosophy); Production (economics)","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":[],"category_scores_codex":[0.00002332869,0.0001349354,0.0001416254,0.00007568628,0.00003309078,0.000112816,0.0002976253,0.00008978684,0.0009839437],"category_scores_gemma":[0.0002198657,0.0001448945,0.000008262095,0.0001135131,0.000002016608,0.00008164089,0.000290926,0.0001655405,0.0001155125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006017983,"about_ca_system_score_gemma":0.0004150773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4313426,"about_ca_topic_score_gemma":0.5221403,"domain_scores_codex":[0.9992507,0.000005803918,0.000131999,0.0002822338,0.0001538581,0.0001754095],"domain_scores_gemma":[0.9994116,0.0001442341,0.00005046053,0.0002601458,0.00002481642,0.0001087203],"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":[1.514592e-7,0.000002847474,0.00007728051,0.00006456103,0.000005375771,0.00009904817,0.000004881299,0.0005781439,1.056355e-7,7.869374e-7,0.9991232,0.00004368669],"study_design_scores_gemma":[0.00006107347,0.000004152239,0.06001396,0.001067141,0.000002867092,0.00001025303,0.000001877076,0.00862409,0.000001120939,0.00002690453,0.9299739,0.0002126433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004019857,0.0005928105,0.000003279283,0.00008006531,0.0003203466,0.00006856924,0.9988615,0.00002224475,0.00001098849],"genre_scores_gemma":[0.00003463517,0.00003354061,0.0003377839,0.0001385933,0.00006861521,0.00002938606,0.9993222,0.000007850371,0.0000274293],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09079768,"threshold_uncertainty_score":0.9999293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03193646747662884,"score_gpt":0.2552046221883165,"score_spread":0.2232681547116876,"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."}}