{"id":"W4287173242","doi":"","title":"materialization - Dematerialization - Ben Lerner","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Digital Media and Philosophy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Media arts; Object (grammar); Art; Visual arts; Art history; Computer science; Artificial intelligence","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002095571,0.0003587588,0.0003969376,0.0001876278,0.00021399,0.002877259,0.002006383,0.0003344679,0.0001369948],"category_scores_gemma":[0.0007875024,0.0003920686,0.0001658358,0.0004599942,0.0001068746,0.000692671,0.002685736,0.0002448593,0.00005549964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009070025,"about_ca_system_score_gemma":0.0003220919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003305189,"about_ca_topic_score_gemma":0.0001429703,"domain_scores_codex":[0.9944825,0.003098173,0.0005901794,0.0009675312,0.0005346269,0.0003269721],"domain_scores_gemma":[0.9946818,0.0003195915,0.0004971938,0.00244979,0.00186426,0.0001874161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008190513,0.0006686967,0.0008529174,0.0005096505,0.0001155052,0.00002629225,0.01625138,0.0002264753,0.01035283,0.9400648,0.001306679,0.02961658],"study_design_scores_gemma":[0.001785047,0.000002045503,0.00588448,0.008180451,0.0001539389,0.00007755309,0.0001334999,0.1119546,0.6174916,0.2091291,0.04212569,0.003081999],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07359264,0.0003775372,0.8746966,0.00840969,0.002027977,0.0004185389,0.00004223442,0.0005340214,0.03990076],"genre_scores_gemma":[0.9136843,0.0002538574,0.0809221,0.0002577,0.0001026119,0.00009793643,0.00188431,0.0000576207,0.002739573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8400916,"threshold_uncertainty_score":0.9998531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466767386021093,"score_gpt":0.2141719542834661,"score_spread":0.1995042804232552,"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."}}