{"id":"W2760104456","doi":"","title":"Transforming the NPS Digital Experience: Media Outreach to Serve Public Archaeology at Fort Vancouver","year":2016,"lang":"en","type":"article","venue":"Society for Historical Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Outreach; Archaeology; Library science; Media studies; History; Political science; Sociology; Computer science; Law","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":[0.0008599411,0.0002987128,0.000183736,0.000732212,0.0260579,0.006202121,0.001161073,0.001408418,0.02567247],"category_scores_gemma":[0.002296496,0.0002955268,0.0001095072,0.0009073205,0.003170732,0.001444014,0.006599446,0.002533449,0.001572806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01085387,"about_ca_system_score_gemma":0.03424985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5875168,"about_ca_topic_score_gemma":0.9346455,"domain_scores_codex":[0.9993094,0.0002031832,0.00001080768,0.00005806659,0.0001372366,0.0002812308],"domain_scores_gemma":[0.9976429,0.0002601287,0.0000459394,0.00008434598,0.0004416593,0.001524902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002366788,0.0005295747,0.02497396,0.0002620764,0.00001656214,0.006773939,0.5501547,0.0004169537,0.007745305,0.01407004,0.1109999,0.2838202],"study_design_scores_gemma":[0.00001043984,0.00008045878,0.008613458,0.0001141689,0.000007541005,0.0004713292,0.5008576,0.000229335,0.000653792,0.001142923,0.4877986,0.00002043594],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.68407,0.0008531931,0.001880817,0.02823934,0.0006098476,0.0002120327,0.0002471312,0.0002359732,0.2836517],"genre_scores_gemma":[0.7508278,0.0009740716,0.0025638,0.001961498,0.00007480887,0.00009170784,0.0001055848,0.000173469,0.2432272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5875168,"threshold_uncertainty_score":0.8298247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015466010639016,"score_gpt":0.2366660960413736,"score_spread":0.2165114359349835,"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."}}