{"id":"W6904665665","doi":"10.1371/journal.pone.0292839.s002","title":"S1 Appendix -","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Random forest; Lichen; Convolutional neural network; Vegetation (pathology); Satellite imagery; Mean absolute error; Deep learning","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003111927,0.001254888,0.001211437,0.004115275,0.001822387,0.002365417,0.002528144,0.00152896,0.8703966],"category_scores_gemma":[0.0411887,0.0008620638,0.0007155986,0.006325609,0.0005607645,0.002431142,0.001689853,0.001986974,0.5102267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002281837,"about_ca_system_score_gemma":0.005312029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02696061,"about_ca_topic_score_gemma":0.03591174,"domain_scores_codex":[0.9980867,0.0004271113,0.0002752527,0.0004139669,0.0006521802,0.0001448884],"domain_scores_gemma":[0.9740856,0.01270512,0.0009934789,0.002224487,0.009381814,0.0006094904],"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":[0.00005572858,0.00003422031,0.0004085759,0.0005912633,0.00000720585,0.00002711483,0.00004177163,0.0002270743,0.00006917211,0.0007299981,0.9859536,0.01185428],"study_design_scores_gemma":[0.0001020477,0.00004308615,0.001604789,0.0007191865,0.00001513808,0.00009269778,0.0002073687,0.0003476432,0.000214561,0.003838719,0.9927861,0.00002861564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004030824,0.0002895539,0.002738342,0.0006081318,0.0005979401,0.00074915,0.964481,0.001274736,0.02885815],"genre_scores_gemma":[0.006701359,0.001139302,0.01276924,0.003197018,0.0003514542,0.004203225,0.8636286,0.002888221,0.1051217],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1296034,"threshold_uncertainty_score":0.1848636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04721912574006255,"score_gpt":0.24882189620091,"score_spread":0.2016027704608475,"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."}}