{"id":"W7098634964","doi":"","title":"ADVANCING THE INTEROPERABILITY OF OCEAN SENSORS. WORKSHOP DEMONSTRATION AT OCEAN INNOVATION 2008","year":2016,"lang":"en","type":"article","venue":"","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Geospatial analysis; Sensor web; Wireless sensor network; Data access; Architecture","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":[0.01079661,0.0004576321,0.0002740052,0.0005014393,0.0005803201,0.001488176,0.001167967,0.001328311,0.007574409],"category_scores_gemma":[0.00428332,0.0002694347,0.0003970946,0.0005652579,0.0006650457,0.003523952,0.003242454,0.001879342,0.001970066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143291,"about_ca_system_score_gemma":0.002447004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004628844,"about_ca_topic_score_gemma":0.004723473,"domain_scores_codex":[0.9980665,0.0004644289,0.00009080592,0.0002069505,0.0008397779,0.0003316383],"domain_scores_gemma":[0.9981609,0.0003511162,0.00006772488,0.0002585338,0.0008470719,0.0003146784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006437234,0.001042257,0.00940155,0.0003635369,0.00006269573,0.00059149,0.00215827,0.01015763,0.06174989,0.1267355,0.09515688,0.6919366],"study_design_scores_gemma":[0.0002949788,0.001029451,0.009494912,0.0004107768,0.00007373198,0.0004009566,0.00198351,0.06329541,0.1458013,0.0418632,0.7352458,0.0001060284],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2276222,0.004158076,0.5795622,0.02774103,0.00211403,0.001302878,0.001995919,0.004288836,0.1512148],"genre_scores_gemma":[0.4799263,0.003268682,0.4057021,0.001426384,0.0002970748,0.0006573945,0.005541413,0.0008427334,0.1023379],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01079661,"threshold_uncertainty_score":0.05709869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963987658811415,"score_gpt":0.2753714176873787,"score_spread":0.2557315410992645,"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."}}