{"id":"W4411633519","doi":"10.18280/ijdne.200501","title":"Identification of Functional Groups, Mineral, and Oxide Composition of Geo-Biomaterials for Soil Amelioration","year":2025,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Mining and Gasification Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Universitas Andalas","keywords":"Identification (biology); Composition (language); Mineral; Materials science; Engineering; Environmental science; Metallurgy; Biology; Botany","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002941533,0.00006882196,0.0001466532,0.0003301245,0.0000213635,0.00003004851,0.00009903066,0.0001351021,0.000001590683],"category_scores_gemma":[0.00009067624,0.00006555209,0.00003818078,0.00007908945,0.00004141478,0.0001583683,0.0000118184,0.00007055246,1.030458e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003127436,"about_ca_system_score_gemma":0.00001793543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001184343,"about_ca_topic_score_gemma":0.000001858246,"domain_scores_codex":[0.9992771,0.00001441467,0.0004742607,0.00006592197,0.0001214919,0.00004684411],"domain_scores_gemma":[0.9991156,0.0001297939,0.0002736032,0.00005304947,0.0004155339,0.00001242021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001660068,0.00003444103,0.0003255721,0.00009410864,0.0001812217,5.733815e-7,0.00006837336,0.01435692,0.9705095,0.008756709,0.0009329872,0.004573533],"study_design_scores_gemma":[0.00167931,0.0001952925,0.02931953,0.0003867895,0.0001686347,0.00008179889,0.0004088353,0.2720665,0.6615965,0.03362067,0.0002628319,0.0002133203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6709061,0.0006043549,0.3276491,0.0002621061,0.0004560975,0.00006375954,0.00003357104,0.00001387521,0.00001103435],"genre_scores_gemma":[0.9947051,0.0005629193,0.004607802,0.0000183775,0.00004252131,0.000004528019,0.00003545669,0.0000054684,0.00001782709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.323799,"threshold_uncertainty_score":0.2673137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00976200244819078,"score_gpt":0.2433233175563307,"score_spread":0.2335613151081399,"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."}}