{"id":"W7031669731","doi":"","title":"Étrangers communs","year":2015,"lang":"fr","type":"book","venue":"E-Artexte (Artexte)","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Natural (archaeology); Selection (genetic algorithm)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005919097,0.001045277,0.0006733853,0.001970285,0.003019001,0.005217707,0.00100535,0.001675331,0.5291662],"category_scores_gemma":[0.002074767,0.0003145171,0.000330944,0.003280034,0.001105597,0.003603468,0.004351419,0.001960543,0.3874842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474356,"about_ca_system_score_gemma":0.001525518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008197139,"about_ca_topic_score_gemma":0.01365151,"domain_scores_codex":[0.9988196,0.0002291363,0.00007571044,0.0002597841,0.0003704562,0.0002452801],"domain_scores_gemma":[0.9992651,0.0001398271,0.00006858834,0.0001591028,0.0002463466,0.0001210197],"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":[0.0000565039,0.00004319408,0.000690542,0.0003513893,0.000007005352,0.000250295,0.001674177,0.00005603809,0.0004858208,0.1252374,0.6590572,0.2120905],"study_design_scores_gemma":[0.00000130776,0.000003882388,0.0002056703,0.00003540787,6.157147e-7,0.00004728197,0.0001035475,0.000004647563,0.00002391515,0.0005742358,0.9989979,0.0000017197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009237441,0.003302778,0.0002599861,0.001320186,0.001970295,0.00004176715,0.001234887,0.0001651633,0.9907811],"genre_scores_gemma":[0.004521875,0.00213655,0.0001812085,0.0005754695,0.000400954,0.00006907599,0.001076927,0.0001154526,0.9909224],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5291662,"threshold_uncertainty_score":0.6715872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07915087787660537,"score_gpt":0.2990020430153989,"score_spread":0.2198511651387935,"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."}}