{"id":"W2624798530","doi":"","title":"Making meaning from 3D models and 3D prints: A case study using archaeological objects from Southwestern Ontario","year":2017,"lang":"en","type":"article","venue":"The 81st Annual Meeting of the Society for American Archaeology","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Meaning (existential); Archaeology; 3d model; Geography; History; Computer science; Artificial intelligence; Epistemology; Philosophy","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":[0.00269254,0.0006796916,0.0004798517,0.001611872,0.01959789,0.006282851,0.001906792,0.002433404,0.003629618],"category_scores_gemma":[0.007611281,0.0007597151,0.0004946956,0.004673326,0.009063475,0.002746896,0.004240749,0.001491928,0.0004075828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02648154,"about_ca_system_score_gemma":0.0239443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9080369,"about_ca_topic_score_gemma":0.9822816,"domain_scores_codex":[0.9974586,0.0008533053,0.0001368849,0.0002876942,0.0008437711,0.0004197511],"domain_scores_gemma":[0.995208,0.003079901,0.0003104259,0.0003666723,0.00074919,0.0002857907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007622482,0.00006700591,0.01326344,0.0001882461,0.00001256069,0.008923754,0.9479795,0.000336302,0.001449218,0.003008935,0.001213213,0.02348153],"study_design_scores_gemma":[0.000009170462,0.00004407055,0.02209288,0.000224527,0.00003404128,0.001454571,0.934451,0.0006567392,0.0009777843,0.0008624913,0.03915185,0.00004078733],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669333,0.0005681784,0.003008511,0.001607571,0.00002395702,0.0002015286,0.0002549651,0.0000247232,0.02737731],"genre_scores_gemma":[0.9788104,0.0009529432,0.006180884,0.0001660932,0.000009029593,0.00007517792,0.0001683078,0.00004452751,0.01359266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09196311,"threshold_uncertainty_score":0.1921379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0760842628637011,"score_gpt":0.2948977088524048,"score_spread":0.2188134459887038,"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."}}