{"id":"W7015996370","doi":"","title":"Tracking Sensor Measurement Errors in Alfa Laval’s Pureballast Machines","year":2024,"lang":"en","type":"article","venue":"Hogskolan Ihalmstad (Halmstad University)","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ballast; Tracking (education); Smoothing; SAFER; Filter (signal processing); Flow sensor; Degradation (telecommunications); Condition monitoring","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000524805,0.0003440745,0.0003091794,0.0004530376,0.0001905872,0.00009301319,0.0004873361,0.0001852224,0.003753803],"category_scores_gemma":[0.00009044962,0.000352689,0.0001672122,0.001086073,0.000306054,0.0006607461,0.0003749211,0.0005053876,0.0006448597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009121983,"about_ca_system_score_gemma":0.00007562137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00124987,"about_ca_topic_score_gemma":0.01294987,"domain_scores_codex":[0.9975845,0.0002015189,0.0002792804,0.0007537518,0.0005422727,0.0006387115],"domain_scores_gemma":[0.9992676,0.00009321552,0.00006809028,0.0003544057,0.00003143693,0.0001852397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003371721,0.0006503973,0.8856707,0.0002814315,0.0002713258,0.007549443,0.00413623,0.00238201,0.02056797,0.021482,0.03582558,0.02084571],"study_design_scores_gemma":[0.0009090179,0.0001929277,0.3352456,0.0001480292,0.00008206676,0.0001040087,0.00157662,0.00142502,0.001070694,0.0007067976,0.6577381,0.0008010634],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7219937,0.0002755984,0.0002496374,0.001441883,0.0007483686,0.0004319568,0.0000260761,0.0004866497,0.2743461],"genre_scores_gemma":[0.9859726,0.0001863241,0.000341113,0.000116745,0.00009130096,0.000002443981,0.00001222409,0.00004993708,0.01322729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6219125,"threshold_uncertainty_score":0.9998925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788164550125258,"score_gpt":0.1985623548008542,"score_spread":0.1806807092996016,"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."}}