{"id":"W2735749401","doi":"","title":"The International Propagation of a Representation: The Dropout","year":2014,"lang":"en","type":"article","venue":"Histoire & Mesure","topic":"Higher Education Practises and Engagement","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Appropriation; Dropout (neural networks); Phenomenon; Representation (politics); Sociology; Political science; Political economy; History; Positive economics; Epistemology; Politics; Law; Economics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001415911,0.00003515324,0.00004109501,0.00001371406,0.001200314,0.0000594695,0.0002764832,0.00002230321,0.0002351913],"category_scores_gemma":[0.0005419828,0.00002090363,0.00003577793,0.0001133506,0.0002344834,0.0001038382,0.00001965392,0.00007668229,0.00002564262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000756263,"about_ca_system_score_gemma":0.00009154976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006452504,"about_ca_topic_score_gemma":0.0006455316,"domain_scores_codex":[0.9989979,0.000316367,0.0001354247,0.0000847138,0.0003865259,0.00007907935],"domain_scores_gemma":[0.9992448,0.0002805496,0.0001330957,0.0001767102,0.0001422452,0.00002261663],"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":[0.00002277304,0.0000742698,0.009143746,0.000005772019,0.00004077454,3.251386e-7,0.0474506,0.00004782844,0.0002915446,0.5162762,0.289702,0.1369441],"study_design_scores_gemma":[0.00006183735,0.000007426142,0.007166216,0.000004341021,0.000007881017,2.583724e-7,0.005837389,0.00007829543,0.00004943533,0.001861041,0.9848974,0.00002850016],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05476754,0.0007292954,0.001582258,0.2534456,0.006716364,0.0005711933,0.000003403652,0.00008421447,0.6821002],"genre_scores_gemma":[0.9727224,0.00007064713,0.00007514172,0.0002163091,0.0003504862,0.00002569881,0.000003506442,0.000003508154,0.02653237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9179548,"threshold_uncertainty_score":0.9231967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03128651289011167,"score_gpt":0.3404630390015379,"score_spread":0.3091765261114262,"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."}}