{"id":"W2508780456","doi":"10.1007/s10816-016-9298-7","title":"Geographic Visualization in Archaeology","year":2016,"lang":"en","type":"article","venue":"Journal of Archaeological Method and Theory","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Geospatial analysis; Geovisualization; Archaeology; Visualization; Data science; Geographic information system; Analytics; Scope (computer science); Geomatics; Computer science; Geography; Information visualization; Remote sensing; Data mining","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.006149389,0.0005668103,0.0005980908,0.004643274,0.001787021,0.01142139,0.0009546453,0.001667036,0.02792402],"category_scores_gemma":[0.01921892,0.000796531,0.0003751016,0.006532348,0.00486344,0.01090072,0.003522213,0.001747756,0.001757836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461075,"about_ca_system_score_gemma":0.002653646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007957759,"about_ca_topic_score_gemma":0.009251625,"domain_scores_codex":[0.9967803,0.002580377,0.0001904778,0.0001606271,0.0002178422,0.00007044488],"domain_scores_gemma":[0.985134,0.01197318,0.0003359055,0.001378799,0.0007519263,0.0004262246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001083378,0.00007215855,0.004041807,0.0007950483,0.00004098071,0.0001855711,0.01088369,0.002414093,0.0008905414,0.7248833,0.03246929,0.2232153],"study_design_scores_gemma":[0.00005328261,0.00004787929,0.003410651,0.00129626,0.00007638491,0.000563809,0.009616502,0.01577677,0.001680378,0.6307459,0.3366666,0.00006566961],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06809151,0.04823286,0.6582967,0.04208428,0.004122026,0.0002095934,0.001950057,0.005847339,0.1711656],"genre_scores_gemma":[0.6166677,0.01462328,0.3309249,0.001099822,0.001366544,0.0004078691,0.0006725586,0.001288421,0.03294889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02792402,"threshold_uncertainty_score":0.0934152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477425793357095,"score_gpt":0.3552258875433423,"score_spread":0.3304516296097713,"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."}}