{"id":"W2580850955","doi":"","title":"Why a Hydrographic Office","year":2015,"lang":"en","type":"article","venue":"The International Hydrographic Review","topic":"Historical Geography and Cartography","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Hydrographic Service","funders":"","keywords":"Hydrography; Hydrographic survey; Geography; Cartography","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":[0.003026378,0.0001960685,0.0002830561,0.000292234,0.0004534638,0.0001098682,0.001549139,0.00008677935,0.0004118762],"category_scores_gemma":[0.0003954565,0.0001402003,0.0006606119,0.003011446,0.000783335,0.0002543043,0.00008317849,0.0003002612,0.0001577997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005447326,"about_ca_system_score_gemma":0.000116079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002381931,"about_ca_topic_score_gemma":0.001128621,"domain_scores_codex":[0.996857,0.000486791,0.0004233376,0.0003271787,0.001505822,0.0003998815],"domain_scores_gemma":[0.9984158,0.0001893323,0.0002003106,0.0004472151,0.0003978327,0.0003494926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005734759,0.0004094007,0.00719975,0.0001533906,0.0004924104,0.00003184582,0.002707784,0.000009054634,0.00001163569,0.2010455,0.7436937,0.04418815],"study_design_scores_gemma":[0.0001590704,0.00004021498,0.0001305767,0.0003547016,0.00008739679,0.000007949804,0.000209195,0.000007945306,0.000001330499,0.006533125,0.9922886,0.0001798562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008235691,0.3507934,0.0002138285,0.09874234,0.003573812,0.001438193,0.00001817792,0.0005670853,0.5364175],"genre_scores_gemma":[0.6378112,0.3013552,0.0002750173,0.05695227,0.001439487,0.0004219087,0.00005229635,0.00004812888,0.001644471],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6295756,"threshold_uncertainty_score":0.5717203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04745258231976181,"score_gpt":0.3216180951602544,"score_spread":0.2741655128404926,"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."}}