{"id":"W2890579810","doi":"","title":"Dana Shishmanian. Néant rose .","year":2017,"lang":"fr","type":"article","venue":"Revue CMC","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Rose (mathematics); ANT; Art; Biology; Horticulture; Ecology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001873253,0.0001229334,0.0001897266,0.00002717315,0.002134474,0.000175541,0.0006146492,0.0002267865,0.0005071037],"category_scores_gemma":[0.001753645,0.0001441894,0.0001124163,0.00007652778,0.001968491,0.000396196,0.00005315996,0.0002204126,0.0006589631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001345813,"about_ca_system_score_gemma":0.0003030616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001234655,"about_ca_topic_score_gemma":0.0006312815,"domain_scores_codex":[0.998668,0.0003056856,0.0002139399,0.0002909164,0.0001418042,0.0003796353],"domain_scores_gemma":[0.9984863,0.0004810934,0.0002676718,0.000475703,0.0001285981,0.0001606743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001314873,0.0001093014,0.02187088,0.00007707719,0.00004033442,0.000004773696,0.05255106,0.000003325672,0.00002469158,0.8768145,0.01343114,0.03507162],"study_design_scores_gemma":[0.0001489131,0.00002959263,0.08182824,0.0001863677,0.00004533948,0.000005340023,0.02378013,0.00004887348,0.000007997884,0.01658244,0.8771131,0.0002236853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.204258,0.01208049,0.0001512023,0.2834914,0.03047692,0.0003305631,0.00004075819,0.00007487231,0.4690959],"genre_scores_gemma":[0.8783684,0.004009719,0.001445381,0.0004383672,0.01698776,0.00001852025,0.00001578853,0.00001802884,0.09869801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.863682,"threshold_uncertainty_score":0.9991646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3913544587782274,"score_gpt":0.4948527038200604,"score_spread":0.103498245041833,"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."}}