{"id":"W3048375152","doi":"10.5194/isprs-archives-xliii-b2-2020-969-2020","title":"3D MODELLING IN TEMPERATE WATERS: BUILDING RIGS AND DATA SCIENCE TO SUPPORT GLASS SPONGE MONITORING EFFORTS IN COASTAL BRITISH COLUMBIA","year":2020,"lang":"en","type":"article","venue":"˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Mitacs","keywords":"Workflow; Benthic zone; Underwater; Software deployment; Temperate climate; Citizen science; Benthos; Process (computing); Computer science; Environmental resource management; Oceanography; Environmental science; Data science; Ecology; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002141891,0.0005103776,0.0003049585,0.001407256,0.001881419,0.002037573,0.001364161,0.0005315578,0.003412239],"category_scores_gemma":[0.004787425,0.0005240411,0.0004903857,0.001862071,0.001061019,0.0008795086,0.002520658,0.0007198132,0.0006790798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005556174,"about_ca_system_score_gemma":0.009661667,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6053124,"about_ca_topic_score_gemma":0.79303,"domain_scores_codex":[0.9991985,0.000147313,0.00007202325,0.000154794,0.0003333222,0.00009402027],"domain_scores_gemma":[0.9978315,0.0005262544,0.0001405061,0.0003929833,0.0008420628,0.0002666629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006508769,0.000809069,0.3170748,0.0006361456,0.0001479016,0.00170675,0.008863511,0.2208615,0.0445741,0.003750907,0.01028642,0.390638],"study_design_scores_gemma":[0.0001187752,0.0003634393,0.1928735,0.0003163712,0.00005151252,0.0001951978,0.01006094,0.7477167,0.01310655,0.00232719,0.03269723,0.0001725803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8670219,0.0001766726,0.09848833,0.0008202568,0.0000428251,0.001434506,0.00586947,0.004812563,0.02133348],"genre_scores_gemma":[0.8283223,0.0001796254,0.1648587,0.0001043919,0.000005288786,0.0005656396,0.003051212,0.0004258341,0.002486963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3946876,"threshold_uncertainty_score":0.794024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02643778634974526,"score_gpt":0.2584518907789503,"score_spread":0.2320141044292051,"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."}}