{"id":"W4200578191","doi":"10.1002/lom3.10475","title":"<scp>The Underwater Vision Profiler 6: an imaging sensor of particle size spectra and plankton, for autonomous and cabled platforms</scp>","year":2021,"lang":"en","type":"article","venue":"Limnology and Oceanography Methods","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Université Laval","funders":"European Research Council; Horizon 2020 Framework Programme; Sorbonne Université; Centre National de la Recherche Scientifique; Helmholtz-Gemeinschaft; European Commission; Bpifrance","keywords":"Plankton; Underwater; Oceanography; Particle (ecology); Environmental science; Remote sensing; Marine engineering; Geology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009134925,0.0001539098,0.0002354814,0.00004191398,0.0002315141,0.00004399297,0.0001238467,0.0001352502,0.000008305375],"category_scores_gemma":[0.0002273002,0.0001088927,0.0000410352,0.0001791964,0.0009135909,0.0002164263,0.000254912,0.0001578493,6.135726e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001010506,"about_ca_system_score_gemma":0.000006319462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000021572,"about_ca_topic_score_gemma":0.00001062289,"domain_scores_codex":[0.9987737,0.0001870745,0.0002302208,0.0004006551,0.00007675437,0.0003316255],"domain_scores_gemma":[0.9985724,0.0009794036,0.00008318608,0.0002877919,0.00001413791,0.00006309726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000472357,0.00009821815,0.7772917,0.00007914803,0.0000765852,0.00001379799,0.002877189,0.00001913369,0.1937508,0.002474082,0.0001512282,0.02312085],"study_design_scores_gemma":[0.0006281049,0.0002787809,0.3086366,0.0000142335,0.00006483967,0.0000920005,0.00237312,0.001185576,0.6398321,0.04511167,0.00167286,0.0001100357],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911481,0.000515513,0.007032485,0.0008239821,0.00009076392,0.0002191486,0.000009443938,0.00009346644,0.00006713835],"genre_scores_gemma":[0.7368128,0.0001086308,0.262817,0.00009937127,0.00001764074,0.00001522823,0.000002539429,0.00001168178,0.0001150537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4686551,"threshold_uncertainty_score":0.4440514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02558139961760762,"score_gpt":0.314751603291991,"score_spread":0.2891702036743834,"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."}}