{"id":"W3089202100","doi":"10.15353/jirr.v3.1585","title":"Combatting the Illegal Antiquity Trade through Museums and Economic Reform","year":2020,"lang":"en","type":"article","venue":"Journal of integrative research & reflection","topic":"Archaeological Research and Protection","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Looting; Late Antiquity; Position (finance); Political science; History; Business; Law; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002811865,0.0001068148,0.0002007247,0.0001012107,0.0006170084,0.0001121143,0.0002584092,0.00007537569,0.0004404351],"category_scores_gemma":[0.001179705,0.00004940783,0.00009020081,0.0003520096,0.0005185806,0.0006353023,0.00003927672,0.001694273,0.00003004267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008307205,"about_ca_system_score_gemma":0.0001834662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002611801,"about_ca_topic_score_gemma":0.002648622,"domain_scores_codex":[0.9976891,0.0009250509,0.0003215361,0.0001722637,0.0005462147,0.0003458612],"domain_scores_gemma":[0.9987249,0.0006564466,0.0001589027,0.00007114805,0.0001718916,0.0002167162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005411434,0.00004647006,0.03057268,0.00009704808,0.0002999169,0.0001307568,0.0211189,0.0007208423,0.01057947,0.004688303,0.005425436,0.9209087],"study_design_scores_gemma":[0.002882511,0.04084779,0.5096812,0.0004002372,0.00004759274,0.001398938,0.06255859,0.04292865,0.04596898,0.1216215,0.1709083,0.0007558129],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9204324,0.001447113,0.005002819,0.04798842,0.0002450262,0.0004750565,0.00001845577,0.00002282838,0.02436784],"genre_scores_gemma":[0.9964353,0.002056733,0.0008290782,0.0001626586,0.0004640267,0.000001272839,0.000002404914,0.000002949442,0.00004554952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.920153,"threshold_uncertainty_score":0.7360867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1238083103321336,"score_gpt":0.3913658974931687,"score_spread":0.2675575871610351,"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."}}