{"id":"W4405623485","doi":"10.5670/oceanog.2025e104","title":"Ocean Gliders for Planning and Monitoring Remote Canadian Pacific Marine Protected Areas","year":2024,"lang":"en","type":"article","venue":"Oceanography","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oceanography; Pacific ocean; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001683455,0.0001742834,0.0001399424,0.0001313656,0.0002682568,0.0001092198,0.0001221306,0.00005210669,0.0001510169],"category_scores_gemma":[0.00002908189,0.0001635359,0.00008311107,0.0005471903,0.00009925471,0.0001416584,0.0001653386,0.0001296058,0.00001819213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009424164,"about_ca_system_score_gemma":0.00001292896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02556651,"about_ca_topic_score_gemma":0.008522475,"domain_scores_codex":[0.9988891,0.00001595147,0.0001463884,0.0003884552,0.0001491265,0.0004109589],"domain_scores_gemma":[0.9995595,0.00004576258,0.00002466882,0.0001481875,0.000007975455,0.0002139715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001474265,0.00000543077,0.9521075,0.0001266091,0.00005664507,0.00003965356,0.0003568003,0.00001860014,0.00004828667,0.00004555358,0.006746686,0.04043349],"study_design_scores_gemma":[0.0002101179,0.0001368865,0.6950333,0.0001764951,0.00005051651,0.00001996207,0.0003988328,0.001866943,0.0001248263,0.001349319,0.3002433,0.0003894505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636367,0.00120423,0.0001066094,0.0006125191,0.0002813432,0.0007819621,0.00002143724,0.0002034112,0.03315177],"genre_scores_gemma":[0.9968652,0.0001375825,0.002475312,0.00006304384,0.00009185408,0.000006172366,0.000008511221,0.00003105519,0.0003212625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2934967,"threshold_uncertainty_score":0.9809223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660494414936273,"score_gpt":0.237218917001234,"score_spread":0.2206139728518712,"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."}}