{"id":"W3141584669","doi":"","title":"Detection Based on Immunogold Labeling Technique and Its Expected Application in Composting","year":2010,"lang":"en","type":"article","venue":"","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Immunogold labelling; Chemistry; Immunoassay; Chromatography; Botany","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005478045,0.0005885846,0.0003900502,0.0007987284,0.0004327115,0.0004696594,0.0005470604,0.001044542,0.00100626],"category_scores_gemma":[0.0004962355,0.0003650466,0.0004429813,0.0005601742,0.0006948453,0.0006112634,0.0004253669,0.0008422891,0.0006846181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003337452,"about_ca_system_score_gemma":0.0003076008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005529746,"about_ca_topic_score_gemma":0.0007795054,"domain_scores_codex":[0.9995561,0.0001028711,0.00002210959,0.0001143029,0.0001425528,0.0000620333],"domain_scores_gemma":[0.9997613,0.00007468544,0.00003328907,0.00003160996,0.00007604236,0.00002307814],"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":[0.00005636583,0.0000303556,0.0003323081,0.0003391129,0.000009826077,0.0002969737,0.0000509855,0.0002096127,0.9714571,0.003024628,0.0003153608,0.02387731],"study_design_scores_gemma":[0.000005204538,0.0001454379,0.0007925629,0.00003251614,0.00002154616,0.001082074,0.00004447728,0.002266326,0.9833804,0.001160794,0.01104776,0.00002089513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1166483,0.03243474,0.8299774,0.001365874,0.001329174,0.0001670293,0.0001828889,0.001130435,0.01676428],"genre_scores_gemma":[0.5404162,0.02848432,0.4191445,0.000552152,0.0002235349,0.0001760445,0.0002543454,0.0001002704,0.01064854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001044542,"threshold_uncertainty_score":0.003366232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009099185563705372,"score_gpt":0.2370644756790172,"score_spread":0.2279652901153118,"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."}}