{"id":"W2118853789","doi":"10.5194/isprsarchives-xl-6-13-2014","title":"On 3D Dimension: Study cases for Archaeological sites","year":2014,"lang":"en","type":"article","venue":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geomatics; Photography; Dimension (graph theory); Computer science; Computer graphics (images); Cultural heritage; Visualization; Observer (physics); Global Positioning System; Artificial intelligence; Computer vision; Data science; Remote sensing; Visual arts; Geography; Archaeology; Art; Mathematics; Telecommunications","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001897711,0.0004359869,0.0004615956,0.0008764816,0.001722969,0.0008214954,0.002393306,0.00007488892,0.000004730497],"category_scores_gemma":[0.001909285,0.0002583304,0.0003583173,0.00087207,0.002504857,0.0006348657,0.001537131,0.0004292416,0.000003560548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003758619,"about_ca_system_score_gemma":0.0001517191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3882672,"about_ca_topic_score_gemma":0.06925771,"domain_scores_codex":[0.9952291,0.0004023197,0.001329877,0.0005430172,0.001945235,0.0005505146],"domain_scores_gemma":[0.99443,0.002946134,0.001417795,0.0006633839,0.0003698399,0.000172837],"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":[0.000154645,0.00004350256,0.0002400999,0.00002140125,0.00005326654,4.167725e-7,0.003075802,0.003372181,0.0008968462,0.00006907989,0.00004642919,0.9920263],"study_design_scores_gemma":[0.0009962674,0.0005489164,0.002629185,0.0002214477,0.0000272267,0.0001359014,0.001322797,0.9707531,0.003115406,0.01668868,0.003252835,0.0003082786],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01268562,0.0000168713,0.9760749,0.004806293,0.0016662,0.0009126281,0.00004229733,0.00007145252,0.00372378],"genre_scores_gemma":[0.9781327,0.00004716131,0.01930265,0.002292283,0.000127027,7.627817e-7,0.00001845881,0.00000966784,0.00006925536],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9917181,"threshold_uncertainty_score":0.9999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382023749804845,"score_gpt":0.2855375331766689,"score_spread":0.2617172956786205,"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."}}