{"id":"W6960899818","doi":"10.1371/journal.pone.0252402.g001","title":"Map showing different locations in the USA and Canada included in our dataset.","year":2021,"lang":"en","type":"other","venue":"Figshare","topic":"Banana Cultivation and Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maturity (psychological); Growing season; Yield (engineering); Contrast (vision)","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":[],"consensus_categories":[],"category_scores_codex":[0.0002981414,0.0008846581,0.0008190793,0.004406549,0.0009701868,0.001423079,0.001425992,0.0005713176,0.06380427],"category_scores_gemma":[0.003472792,0.0003195903,0.0006185801,0.01458463,0.0003261987,0.0007050652,0.0008418686,0.00098409,0.02394602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003468575,"about_ca_system_score_gemma":0.009275377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8107467,"about_ca_topic_score_gemma":0.8986002,"domain_scores_codex":[0.9995151,0.00003817794,0.00003728466,0.000171968,0.0001232371,0.0001143322],"domain_scores_gemma":[0.9975137,0.0003561226,0.0001965835,0.0002557858,0.00150765,0.0001702019],"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":[0.00003825703,0.00001133207,0.005160898,0.000507757,0.00003940013,0.00003409023,0.00004425856,0.0005101808,0.0001038453,0.0004935821,0.988811,0.004245395],"study_design_scores_gemma":[0.00007589422,0.000007240616,0.03396516,0.0005469561,0.00005704264,0.00008115747,0.0004707899,0.0007713832,0.0002403374,0.0005830892,0.9631609,0.00004012792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002710949,0.00005944219,0.00004874519,0.00002878702,0.00001200285,0.000005462523,0.9987264,0.00007245827,0.0007755848],"genre_scores_gemma":[0.0026705,0.0001659191,0.0004503861,0.00005546624,0.000004659894,0.00004298215,0.9951557,0.00004891686,0.001405393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1892533,"threshold_uncertainty_score":0.3807358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1129011767285115,"score_gpt":0.300120190170969,"score_spread":0.1872190134424575,"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."}}