{"id":"W2896219916","doi":"10.7202/1051669ar","title":"Dwelling in contradictions","year":2018,"lang":"en","type":"article","venue":"Ethnologies","topic":"Memory, Trauma, and Commemoration","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Focus (optics); Politics; Computer science; Sociology; Epistemology; Data science; Political science; Law; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001554885,0.00006708297,0.00009256525,0.000108525,0.00008096241,0.00001458633,0.000138308,0.0001247764,0.0007508971],"category_scores_gemma":[0.0000689083,0.00006258972,0.00002200698,0.0001677852,0.0001847578,0.000053772,0.00001527246,0.0001666954,0.0008951082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001732422,"about_ca_system_score_gemma":0.000009719037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000196412,"about_ca_topic_score_gemma":0.0006471061,"domain_scores_codex":[0.9993914,0.00006550884,0.0001412827,0.0001647641,0.00004464264,0.0001924265],"domain_scores_gemma":[0.9995787,0.00008901897,0.00003280854,0.0002565261,0.00002704451,0.00001595676],"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":[0.0002795893,0.0005966459,0.07741498,0.00001928614,0.0001541626,0.00009135631,0.07220268,0.00008053071,0.0043902,0.2139245,0.1028055,0.5280406],"study_design_scores_gemma":[0.00414715,0.001275747,0.6547836,0.00008643408,0.0000474538,0.00004841727,0.09648874,0.00140678,0.01688234,0.07507488,0.1488333,0.0009251073],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8350298,0.0005525925,0.00251605,0.002623254,0.001865676,0.0001202592,0.0000021685,0.0003119415,0.1569783],"genre_scores_gemma":[0.9972642,0.00001942308,0.0003830642,0.000256972,0.0002122352,0.00003046878,0.000002862317,0.000006718641,0.001824028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5773686,"threshold_uncertainty_score":0.9998828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07717691207324974,"score_gpt":0.3549596213534779,"score_spread":0.2777827092802281,"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."}}