{"id":"W6960685083","doi":"10.1371/journal.pone.0002411.g001","title":"A map showing the locations and sample size (N) for the 60 long exons for each of the six populations studied: ICE = Iceland, GER = Germany, CAN = Canada; SWE = Sweden; RUS = Russia.","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Sample size determination; Population; Statistical analysis","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":[0.000344357,0.000513132,0.0004395952,0.002293341,0.0006633938,0.00047253,0.0005240244,0.000333604,0.1665527],"category_scores_gemma":[0.001090936,0.0002305454,0.0003375935,0.003588888,0.0004060483,0.0003216505,0.0004238354,0.0007935752,0.03325341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004211861,"about_ca_system_score_gemma":0.0007412226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0152602,"about_ca_topic_score_gemma":0.03460644,"domain_scores_codex":[0.9998029,0.00003192649,0.00001031167,0.0000818546,0.00004032447,0.00003274756],"domain_scores_gemma":[0.9993489,0.0002695706,0.00008701856,0.0000798015,0.0001427583,0.0000720536],"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":[0.001208469,0.0003262229,0.02075133,0.00108478,0.0001194772,0.0007455497,0.001116445,0.002155173,0.009937653,0.00568077,0.8176827,0.1391914],"study_design_scores_gemma":[0.0005167576,0.0001709873,0.2993617,0.0004526298,0.00009822851,0.0006494345,0.001031528,0.001386467,0.002495546,0.003004961,0.6907709,0.00006080818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.05208346,0.0003369735,0.007224437,0.0004905934,0.0004155669,0.0008173374,0.8253003,0.001404196,0.1119272],"genre_scores_gemma":[0.1348593,0.0005169801,0.04434391,0.0002292859,0.00008380002,0.00144619,0.7277973,0.0008908216,0.08983239],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9847398,"threshold_uncertainty_score":0.5571742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1197758143132927,"score_gpt":0.2979762627490402,"score_spread":0.1782004484357475,"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."}}