{"id":"W1563473864","doi":"","title":"A SENSOR FOR IN SITU SPECTROPHOTOMETRIC MEASUREMENTS OF SEAWATER pH","year":2006,"lang":"en","type":"article","venue":"The Mathematics Enthusiast","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seawater; In situ; Remote sensing; Environmental science; Chemistry; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009161736,0.0008299913,0.0006732345,0.0006637024,0.0004627321,0.0005987632,0.001366319,0.00158588,0.002314607],"category_scores_gemma":[0.001002564,0.0005546437,0.0006366355,0.0008260438,0.0003267858,0.0009197495,0.0007311981,0.001453862,0.001544202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003824098,"about_ca_system_score_gemma":0.0005574027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002888655,"about_ca_topic_score_gemma":0.0005763791,"domain_scores_codex":[0.9983969,0.000207737,0.00008962023,0.0003129495,0.0009131287,0.00007962419],"domain_scores_gemma":[0.9994189,0.0001292902,0.0001004104,0.00007385756,0.0002069847,0.00007061613],"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":[0.00004989774,0.00002433735,0.0001826733,0.0001665813,0.00000859619,0.00003858451,0.00002609929,0.0001039499,0.9884164,0.0002279787,0.0005425352,0.01021242],"study_design_scores_gemma":[0.00001504269,0.0003428815,0.0008992633,0.00001184531,0.00002032329,0.0003723062,0.00002123958,0.002712693,0.9846706,0.00009166948,0.01082363,0.00001851039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3240455,0.006721371,0.6397305,0.001307152,0.001601205,0.001241394,0.003364526,0.00691666,0.01507178],"genre_scores_gemma":[0.4356575,0.003100374,0.540666,0.0006557402,0.0001532663,0.0007876529,0.001751232,0.0001785814,0.0170497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002314607,"threshold_uncertainty_score":0.00774312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612858862128173,"score_gpt":0.2395832859813957,"score_spread":0.213454697360114,"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."}}