{"id":"W6986152700","doi":"","title":"Ombres d'exil : du dessin-scène par nuages de points à l'émergence de transagirs micropolitiques","year":2022,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Orality; Period (music); Postcolonialism (international relations)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002581099,0.0007055464,0.001143731,0.0006893276,0.0006716918,0.0001097723,0.002754154,0.0003944744,0.06686889],"category_scores_gemma":[0.0003463205,0.0008513682,0.0003257098,0.000641794,0.002256932,0.0004200861,0.000753073,0.0007792024,0.0003169573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009549062,"about_ca_system_score_gemma":0.0009908563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8034279,"about_ca_topic_score_gemma":0.8799093,"domain_scores_codex":[0.9929873,0.003060662,0.0005859061,0.001203358,0.0006905637,0.001472187],"domain_scores_gemma":[0.997245,0.0005735126,0.0007726394,0.0009028179,0.00008695272,0.0004190865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001837252,0.002401663,0.1507404,0.003461704,0.0003062628,0.004995667,0.3323728,0.02214016,0.3040594,0.05316315,0.0186575,0.105864],"study_design_scores_gemma":[0.004038559,0.000817838,0.7691514,0.002294066,0.0005396443,0.0003487358,0.06271962,0.008356105,0.01015423,0.09275103,0.04533152,0.003497177],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431025,0.0007159385,0.005132534,0.003062477,0.0006398716,0.0005892157,0.0004714196,0.0001601678,0.04612587],"genre_scores_gemma":[0.7709312,0.002906122,0.08453376,0.0005578103,0.0003309173,0.00001230819,0.0001237709,0.0003194036,0.1402847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6184111,"threshold_uncertainty_score":0.9993937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006698079744818332,"score_gpt":0.2118304196702496,"score_spread":0.2051323399254312,"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."}}