{"id":"W4399304948","doi":"10.52975/llt.2024v93.011","title":"Making Space for Creativity","year":2024,"lang":"fr","type":"article","venue":"Labour / Le Travail","topic":"Architecture and Computational Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Creativity; Space (punctuation); Psychology; Computer science; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001853528,0.0002046153,0.0001845136,0.00007772064,0.0001002987,0.0001467758,0.0001139651,0.0001181723,0.0002521386],"category_scores_gemma":[0.00002343932,0.0002252691,0.0001362925,0.0002323259,0.00004913824,0.0001317601,0.00001895781,0.0002453596,0.000295932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007411018,"about_ca_system_score_gemma":0.0001245641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001373,"about_ca_topic_score_gemma":0.00008892886,"domain_scores_codex":[0.9990317,0.00004774776,0.0001697501,0.0002655256,0.0001327286,0.0003525712],"domain_scores_gemma":[0.9993561,0.0003953337,0.00001587886,0.0001319489,0.00003517916,0.00006559389],"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":[0.00001837403,0.00003483293,0.00002836105,0.001514537,0.0001964152,0.00006051953,0.002790583,0.08359533,0.001406439,0.5714135,0.01626532,0.3226758],"study_design_scores_gemma":[0.0002526521,0.00008643352,0.002819573,0.0004705682,0.00006615815,0.00004577614,0.00009481492,0.1610516,0.001507053,0.1025275,0.7307199,0.000357978],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01569292,0.04826784,0.9134724,0.008404629,0.001941844,0.0002972865,0.0001729104,0.0004237048,0.01132644],"genre_scores_gemma":[0.9010434,0.0001297131,0.03342993,0.0001554254,0.001129369,0.00004536003,0.00001397989,0.00008673115,0.06396607],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8853505,"threshold_uncertainty_score":0.9186207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02187308945514476,"score_gpt":0.2617017797485193,"score_spread":0.2398286902933746,"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."}}