{"id":"W4315433271","doi":"10.16995/dscn.8081","title":"Title Pending 8081","year":2023,"lang":"fr","type":"article","venue":"Digital Studies / Le champ numérique","topic":"Historical and Literary Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Restitution; Political science; Law","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":[0.0001781124,0.0001535316,0.0002494302,0.00005069246,0.0005520792,0.00006088416,0.0001414502,0.00008006446,0.0003754937],"category_scores_gemma":[0.0002208402,0.0001438631,0.0001235587,0.0006585327,0.0004601595,0.0003046919,0.0001917102,0.0001272808,0.008131006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001754544,"about_ca_system_score_gemma":0.00004932003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001280826,"about_ca_topic_score_gemma":0.0000717759,"domain_scores_codex":[0.9989147,0.00004813681,0.0001769244,0.0002407687,0.0002129398,0.0004065707],"domain_scores_gemma":[0.999495,0.0001979209,0.0000484493,0.000100204,0.00007021031,0.0000882214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002601723,0.00004622369,0.0003403909,0.00006502001,0.0001274649,0.00005108832,0.4000406,0.000001587731,0.000001822212,0.009831528,0.5615013,0.02799032],"study_design_scores_gemma":[0.00005269901,0.00002343574,0.00005691838,0.00004678326,1.652501e-7,9.289921e-7,0.178142,0.000007178205,0.00000392157,0.005337578,0.8161846,0.000143773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0275212,0.02519856,0.0000221649,0.01245657,0.004352214,0.0001173309,0.00007369781,0.0002269262,0.9300314],"genre_scores_gemma":[0.5012395,0.004542412,0.000002314551,0.0001165741,0.0009002372,0.00001591698,0.00001008271,0.00001415781,0.4931588],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4737183,"threshold_uncertainty_score":0.9926413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06164967542066745,"score_gpt":0.3150972097456383,"score_spread":0.2534475343249709,"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."}}