{"id":"W2358624538","doi":"","title":"Application and Quality Control of Multi Parameter Water Probe Meter in Marine Investigation","year":2008,"lang":"en","type":"article","venue":"Ocean Technology","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metre; Water quality; Quality (philosophy); Environmental science; Remote sensing; Process (computing); Marine engineering; Engineering; Computer science; Geology","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":[0.00114062,0.0003809257,0.0002698537,0.000832662,0.0003622328,0.0007977107,0.0009130265,0.0009471353,0.0008805585],"category_scores_gemma":[0.002517333,0.0002711244,0.0002417223,0.000925963,0.0004931295,0.001145516,0.0007079526,0.0005409201,0.0003154348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000474256,"about_ca_system_score_gemma":0.0004016629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007561053,"about_ca_topic_score_gemma":0.0004896958,"domain_scores_codex":[0.9983034,0.0004530434,0.00008503573,0.0002415983,0.0008533783,0.00006347242],"domain_scores_gemma":[0.998793,0.0003148957,0.0001268354,0.0001732909,0.0005442617,0.00004769854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000493046,0.0001390751,0.02076666,0.000419058,0.00003254632,0.0004486192,0.0005718103,0.01763317,0.4255037,0.01045929,0.002607942,0.5209252],"study_design_scores_gemma":[0.00009736835,0.001698461,0.027848,0.0001692451,0.0001430431,0.002724681,0.0006021367,0.2297756,0.6455283,0.008424901,0.08277372,0.0002146567],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07404213,0.002298171,0.9097608,0.0008344799,0.000220563,0.0001934678,0.0000887469,0.001557623,0.0110041],"genre_scores_gemma":[0.7669507,0.001361793,0.2271557,0.0002544423,0.0001168234,0.0001026119,0.0000622451,0.0001010178,0.00389467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00114062,"threshold_uncertainty_score":0.006032288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461395228017203,"score_gpt":0.2265989832845349,"score_spread":0.2019850310043629,"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."}}