{"id":"W4236902497","doi":"10.7287/peerj.11685v0.2/reviews/3","title":"Peer Review #3 of \"Digital mapping of soil texture in ecoforest polygons in Quebec, Canada (v0.2)\"","year":2021,"lang":"en","type":"peer-review","venue":"","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Texture (cosmology); Soil texture; Cartography; Geography; Geology; Computer science; Soil science; Artificial intelligence; Image (mathematics); Soil water","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004978702,0.000742255,0.001078331,0.005509496,0.004908039,0.006153441,0.002752264,0.001347856,0.3399049],"category_scores_gemma":[0.02525323,0.0004441826,0.0008330367,0.004544774,0.001390628,0.001555259,0.002826041,0.0009093063,0.1459263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006850091,"about_ca_system_score_gemma":0.03737093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4194151,"about_ca_topic_score_gemma":0.6678022,"domain_scores_codex":[0.9953236,0.0003842739,0.0001909511,0.0003693179,0.003158545,0.0005734599],"domain_scores_gemma":[0.9125397,0.002033671,0.001152369,0.002658987,0.07633239,0.00528285],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001717774,0.000008292882,0.0008634358,0.0001807524,0.0000065953,0.00005190144,0.00005583372,0.00006337707,0.0002077287,0.0002183874,0.9731337,0.02519278],"study_design_scores_gemma":[0.00001446895,0.000009157895,0.00642622,0.0001532078,0.000008189098,0.00003020606,0.000169586,0.000352022,0.0002664957,0.0001736385,0.9923806,0.00001613199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02601842,0.007986781,0.0116102,0.06964403,0.1549922,0.007873666,0.1365078,0.01029718,0.5750697],"genre_scores_gemma":[0.0395056,0.003250523,0.005024,0.00246673,0.007050274,0.0007663619,0.04177316,0.00245268,0.8977107],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9950213,"threshold_uncertainty_score":0.9415455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03329287758958467,"score_gpt":0.2451712606162832,"score_spread":0.2118783830266985,"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."}}