{"id":"W4400041571","doi":"10.18280/ts.410307","title":"Predictive Analysis of Soil Organic Matter and Moisture Content Using Image-Based Modeling","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water content; Organic matter; Soil science; Environmental science; Content (measure theory); Soil organic matter; Soil water; Mathematics; Geology; Chemistry; Geotechnical engineering","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":[0.0004643181,0.0005464653,0.0004412397,0.0005072547,0.0001182934,0.0004791518,0.000501207,0.000437305,0.0005610644],"category_scores_gemma":[0.0008542198,0.000187338,0.0005613212,0.0004557252,0.0001979047,0.0003454407,0.0002581708,0.0003731667,0.0001661013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004884988,"about_ca_system_score_gemma":0.0004967909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01257771,"about_ca_topic_score_gemma":0.009578719,"domain_scores_codex":[0.9998997,0.0000257922,0.000004947414,0.00003071675,0.00002470739,0.00001407517],"domain_scores_gemma":[0.999679,0.0002003229,0.00005075391,0.00001701113,0.00004305921,0.000009897103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004034882,0.00005208325,0.00334737,0.00002562781,0.00003662705,0.00002239759,0.00001205098,0.9774501,0.004397735,0.000283929,0.0001064069,0.01422531],"study_design_scores_gemma":[0.000001091748,0.000005267937,0.0004867559,7.25301e-7,0.000002254159,0.00000181894,0.000001012372,0.9990047,0.0004063043,0.00006334895,0.00002505926,0.000001785222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5172194,0.0002697146,0.4790998,0.000142847,0.00001828246,0.00007375668,0.0004758701,0.001070184,0.00163015],"genre_scores_gemma":[0.9661115,0.0001117863,0.03273758,0.00002205293,0.000006167232,0.00006047696,0.0002655619,0.0000311598,0.0006535905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01257771,"threshold_uncertainty_score":0.02500898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02827606274996146,"score_gpt":0.2147712748444676,"score_spread":0.1864952120945062,"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."}}