{"id":"W3015787937","doi":"10.3390/heritage3020013","title":"Towards a Digital Sensorial Archaeology as an Experiment in Distant Viewing of the Trade in Human Remains on Instagram","year":2020,"lang":"en","type":"article","venue":"Heritage","topic":"Archaeological Research and Protection","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada; Stockholms Universitet","keywords":"Cloud computing; Computer science; Presentation (obstetrics); Order (exchange); Annotation; Scale (ratio); Affect (linguistics); World Wide Web; Human–computer interaction; Data science; Multimedia; Artificial intelligence; Sociology; Geography; Communication; Business; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002109618,0.00008670185,0.0001535358,0.00003850942,0.00005215706,0.00001267579,0.0001989284,0.00005867592,0.0002979955],"category_scores_gemma":[0.0002231563,0.00005598403,0.00004426487,0.0002161865,0.0002234105,0.0001102723,0.00004041328,0.0002842938,0.00000803368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001047682,"about_ca_system_score_gemma":0.00003826394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001457735,"about_ca_topic_score_gemma":0.004399855,"domain_scores_codex":[0.9988436,0.0002297562,0.0002025881,0.0002177303,0.0002452875,0.0002610055],"domain_scores_gemma":[0.99966,0.00006149939,0.00003474923,0.0001185514,0.000004451475,0.0001207347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004278704,0.0003729375,0.5909768,0.0001818181,0.0000292877,0.0008523518,0.09449524,0.003240766,0.0177692,0.009046075,0.00003398015,0.2787229],"study_design_scores_gemma":[0.001510688,0.006092174,0.9491485,0.00007997556,0.000002006442,0.0000106707,0.003688704,0.00373651,0.006509645,0.0222464,0.006677283,0.0002974099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951951,0.00005641165,0.00003618611,0.001523878,0.00006277587,0.0003096421,0.00002563103,0.00001397745,0.002776419],"genre_scores_gemma":[0.999561,0.00001452487,0.0001159809,0.0002152149,0.00006249729,0.000003967605,0.00001618893,0.000002378411,0.000008270751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3581717,"threshold_uncertainty_score":0.3262842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05066301932354323,"score_gpt":0.2882234262593413,"score_spread":0.2375604069357981,"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."}}