{"id":"W2957674772","doi":"10.3917/epar.632.0046","title":"Au service des autres","year":2019,"lang":"fr","type":"article","venue":"L école des parents","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Labour, Employment and Social Solidarity","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003878381,0.0001849563,0.0002252323,0.00002290882,0.0007988375,0.0001553999,0.0006495982,0.0001767042,0.002677764],"category_scores_gemma":[0.00008376376,0.0001880341,0.0001139311,0.001188154,0.0009393379,0.0007228764,0.0001246119,0.0001331449,0.003969962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005773646,"about_ca_system_score_gemma":0.0004046778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2821204,"about_ca_topic_score_gemma":0.2723359,"domain_scores_codex":[0.9977011,0.0001824552,0.0002221374,0.000386147,0.0006196368,0.0008885142],"domain_scores_gemma":[0.999072,0.0001074562,0.000167082,0.0002160174,0.0001496825,0.0002878267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001119469,0.0001524541,0.8650925,0.0001213156,0.00002612269,0.000005171096,0.04417855,0.0001504089,0.00004124664,0.0159475,0.002238562,0.072035],"study_design_scores_gemma":[0.0003268487,0.00008981198,0.706387,0.0003247055,0.0000278494,0.000001160911,0.02021503,0.0004551419,0.00004314941,0.01158348,0.260215,0.0003309072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8739756,0.002453685,0.00002006345,0.002671393,0.003967096,0.0002460251,0.0000352174,0.0000437324,0.1165872],"genre_scores_gemma":[0.8648004,0.0004448916,0.0002141313,0.000828033,0.0005642007,0.00001266871,0.000002693586,0.00001283788,0.1331201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2579764,"threshold_uncertainty_score":0.9982339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05677294400172254,"score_gpt":0.328084594339737,"score_spread":0.2713116503380144,"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."}}