{"id":"W4249631963","doi":"10.3917/inso.169.0004","title":"Introduction","year":2012,"lang":"en","type":"article","venue":"Informations sociales","topic":"","field":"","cited_by":1,"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":[],"category_scores_codex":[0.0002867769,0.00005366613,0.0000520037,0.0001070849,0.0002523167,0.00003251999,0.0000569563,0.00003899982,0.0005592096],"category_scores_gemma":[0.000160577,0.00005470327,0.00003328111,0.0002857151,0.00008893871,0.002281273,0.00001842817,0.00006196333,0.03383178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001638587,"about_ca_system_score_gemma":0.00004508277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001293562,"about_ca_topic_score_gemma":0.000007631694,"domain_scores_codex":[0.9994467,0.00002079521,0.0001684986,0.00002639133,0.0001374725,0.000200101],"domain_scores_gemma":[0.9996642,0.000020741,0.00008124312,0.0001098672,0.00007509643,0.00004883789],"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":[0.000004078489,0.00006816412,0.007220053,0.0000101644,0.00002620368,1.689195e-8,0.01324232,0.00004993174,0.0005696931,0.4830917,0.4877809,0.007936826],"study_design_scores_gemma":[0.0001252783,0.000003822595,0.03179698,0.000001460647,0.00001346653,0.000007026842,0.002190699,0.00005205474,0.0007777215,0.0009564066,0.9639595,0.0001156044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5934421,0.0001951311,0.003298991,0.00431717,0.002320793,0.0004040556,0.0001061169,0.00129068,0.3946249],"genre_scores_gemma":[0.9957153,0.000002328472,0.001280264,0.00008046582,0.00235548,0.0000201634,0.000102056,0.00001114008,0.0004328708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4821353,"threshold_uncertainty_score":0.9669205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05561010490799511,"score_gpt":0.3042928806231701,"score_spread":0.2486827757151749,"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."}}