{"id":"W2094569959","doi":"10.1007/s10816-014-9223-x","title":"Modernizing Spatial Micro-Refuse Analysis: New Methods for Collecting, Analyzing, and Interpreting the Spatial Patterning of Micro-Refuse from House-Floor Contexts","year":2014,"lang":"en","type":"article","venue":"Journal of Archaeological Method and Theory","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Habitus; Field (mathematics); Perception; Data science; Scale (ratio); Quality (philosophy); Computer science; Environmental resource management; History; Archaeology; Geography; Epistemology; Cartography; Environmental science","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":[0.003702752,0.0006812032,0.0006864906,0.004696025,0.001279108,0.003453598,0.001935214,0.000840629,0.004068839],"category_scores_gemma":[0.01441615,0.0009063209,0.0008325899,0.006041844,0.004109631,0.003326778,0.003827313,0.001821041,0.0007169149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009007471,"about_ca_system_score_gemma":0.001922925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00937057,"about_ca_topic_score_gemma":0.04234656,"domain_scores_codex":[0.9963981,0.001872486,0.0002094764,0.000813834,0.0005784514,0.0001275935],"domain_scores_gemma":[0.9871892,0.005360468,0.001152429,0.004300561,0.001768875,0.0002283397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"design_other","study_design_scores_codex":[0.0001225575,0.00008819208,0.09268665,0.001161918,0.0004653691,0.0003354483,0.03966668,0.007133605,0.03744799,0.08849382,0.004285683,0.728112],"study_design_scores_gemma":[0.00006370304,0.0001706929,0.2584183,0.001025383,0.0005227543,0.002290016,0.03146332,0.07340508,0.03874105,0.3925107,0.2008919,0.000497207],"study_design_candidate":"design_other","study_design_consensus":"design_other","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06154194,0.001809546,0.9290372,0.0006312103,0.00006888357,0.0001114361,0.0009931725,0.000393321,0.005413356],"genre_scores_gemma":[0.159644,0.0007620859,0.837153,0.0001541276,0.00004809492,0.0002779222,0.0003771724,0.0002394982,0.001344114],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00937057,"threshold_uncertainty_score":0.01958221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01865954745404744,"score_gpt":0.2979574254934663,"score_spread":0.2792978780394189,"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."}}