{"id":"W7087076714","doi":"10.18280/i2m.240403","title":"Rapid Assessment of Soil Nutrient-Related Environmental Risks and Safety Using Near Infrared Spectroscopy and Machine Learning","year":2025,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Lembaga Pengelola Dana Pendidikan; Badan Riset dan Inovasi Nasional","keywords":"Near-infrared spectroscopy; Risk assessment; Feature (linguistics); Spectroscopy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009076811,0.0005942052,0.0005348157,0.00140843,0.0003122259,0.0009757195,0.0005705848,0.000955574,0.0009106026],"category_scores_gemma":[0.001184859,0.0002422527,0.0004635871,0.0006468561,0.0002667989,0.001336842,0.0007418558,0.0006379459,0.0005347762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004600142,"about_ca_system_score_gemma":0.0006330053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002234301,"about_ca_topic_score_gemma":0.005220343,"domain_scores_codex":[0.999472,0.00006914561,0.00001884622,0.0001223117,0.0002794808,0.00003829034],"domain_scores_gemma":[0.9992067,0.0002447864,0.0001555747,0.00005199272,0.0003065051,0.00003442197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007527524,0.0008052456,0.129491,0.0004100845,0.0002528079,0.0002157174,0.0001374194,0.04553479,0.4582978,0.001285408,0.00196735,0.3608496],"study_design_scores_gemma":[0.0000735692,0.0009041523,0.1143975,0.00007015793,0.0001531179,0.0003834475,0.0004077175,0.6638348,0.2069982,0.007762387,0.004894334,0.0001205213],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7397913,0.001199678,0.2501355,0.0003624208,0.00007614723,0.0001708574,0.0009724376,0.001077781,0.006213963],"genre_scores_gemma":[0.8642704,0.0007015256,0.1311748,0.0001398654,0.00003399003,0.00008954002,0.0005832996,0.00006051379,0.002946014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002234301,"threshold_uncertainty_score":0.00480032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04016872304535523,"score_gpt":0.2876529852925253,"score_spread":0.2474842622471701,"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."}}