{"id":"W4396915585","doi":"10.14434/ijes.v6i1.37623","title":"Atlas of Microscopic Images of Biochar","year":2024,"lang":"en","type":"article","venue":"Indiana Journal of Earth Sciences","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Atlas (anatomy); Biochar; Cartography; Computer graphics (images); Environmental science; Computer science; Geography; Geology; Engineering; Chemical engineering; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004666745,0.00006852743,0.0001793047,0.0001808243,0.00007223065,0.00003536277,0.0002376395,0.00002137551,0.001625398],"category_scores_gemma":[0.00002677805,0.00004396802,0.00008386312,0.0003301564,0.0005602693,0.0002696835,0.00001621104,0.00008060749,0.00004050647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":7.048442e-7,"about_ca_system_score_gemma":0.00006669159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006454391,"about_ca_topic_score_gemma":0.0003759603,"domain_scores_codex":[0.9990934,0.00002365214,0.0003165472,0.00009460389,0.0003290543,0.0001428096],"domain_scores_gemma":[0.9996085,0.0001054891,0.0001631699,0.00004764021,0.00001945234,0.00005578007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009366118,0.00001448289,0.96277,0.00007486689,0.00004204944,0.00003692429,0.0003905448,0.000462346,0.005508135,0.00002783934,0.0005451842,0.03011828],"study_design_scores_gemma":[0.0001082182,0.0007859507,0.941259,0.000188299,0.00002383007,0.00006673311,0.0005355134,0.000124461,0.05137792,0.0005036219,0.004936629,0.00008986726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803199,0.0147005,0.00001316531,0.0002113648,0.0003541572,0.00002886168,0.00002752848,0.000002344957,0.004342216],"genre_scores_gemma":[0.9978149,0.001090623,0.0008580769,0.0000233535,0.00006763552,3.61612e-8,6.907078e-7,9.506784e-7,0.000143716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04586978,"threshold_uncertainty_score":0.9992872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342062534354692,"score_gpt":0.2247873354261314,"score_spread":0.2113667100825845,"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."}}