{"id":"W2276285710","doi":"","title":"Underwater cartography for archaeology in the VENUS project","year":2008,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Maritime and Coastal Archaeology","field":"Arts and Humanities","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; Suite; Underwater; Venus; Underwater archaeology; Geography; Cartography; Archaeology; Maritime archaeology; Remote sensing; Geology; Geographic information system; Oceanography; Physical geography","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":[0.002009166,0.0005891086,0.0004882109,0.002902227,0.000966794,0.00154195,0.0007225919,0.0004313781,0.010523],"category_scores_gemma":[0.002200245,0.0004462702,0.0004150332,0.00438813,0.0004725244,0.0007504169,0.002011249,0.0004264887,0.001865335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588896,"about_ca_system_score_gemma":0.008729365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.437662,"about_ca_topic_score_gemma":0.6335507,"domain_scores_codex":[0.9990574,0.0002691093,0.00003241837,0.0001025239,0.000350405,0.0001882144],"domain_scores_gemma":[0.998781,0.0001863788,0.00006090781,0.0002560432,0.0004118959,0.000303791],"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":[0.0008239406,0.0002273729,0.04963266,0.0005486487,0.0002178313,0.0003917222,0.003728979,0.01549865,0.00692628,0.01489921,0.3226384,0.5844663],"study_design_scores_gemma":[0.0003110325,0.000095222,0.2380522,0.0005897487,0.0002239426,0.0004179305,0.008585446,0.07481978,0.01096142,0.01282553,0.6529807,0.0001369642],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4080934,0.006411466,0.1265379,0.004898542,0.0009777175,0.0021981,0.3643506,0.01298044,0.07355186],"genre_scores_gemma":[0.4307607,0.003139092,0.313573,0.0002323519,0.0001445774,0.001166431,0.2088071,0.004088078,0.03808869],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.437662,"threshold_uncertainty_score":0.8702291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065964501258963,"score_gpt":0.2335662231112622,"score_spread":0.2029065780986726,"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."}}