{"id":"W7066001616","doi":"","title":"Fabriquer avec des données","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Bespoke; Craft; Affordance; Automation; Process (computing); Modular design; Physical computing; Digital data; External Data Representation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007193178,0.003350747,0.002035971,0.006335931,0.004084792,0.01813458,0.002683066,0.003561573,0.1972336],"category_scores_gemma":[0.04012631,0.001570397,0.004499189,0.006746795,0.003001646,0.01164934,0.007765718,0.007026046,0.1112657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003606218,"about_ca_system_score_gemma":0.005076433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03590633,"about_ca_topic_score_gemma":0.03677242,"domain_scores_codex":[0.9817662,0.004849643,0.001477686,0.003114923,0.008165926,0.0006256547],"domain_scores_gemma":[0.9862251,0.005480564,0.0005241901,0.00408654,0.003182907,0.0005006759],"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":[0.0005747362,0.0001333527,0.001997891,0.002541021,0.0003634653,0.003130919,0.006222146,0.003109751,0.006294542,0.08243063,0.4483179,0.4448836],"study_design_scores_gemma":[0.00002011214,0.0000134572,0.0003728131,0.0003227719,0.00002065595,0.0007209362,0.0006387716,0.0007479725,0.0007664944,0.003094503,0.993234,0.0000474456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01289068,0.02465852,0.3064729,0.0229936,0.01285462,0.001587108,0.05133562,0.04454983,0.5226571],"genre_scores_gemma":[0.09477745,0.03231946,0.3130447,0.009450152,0.005703371,0.002070617,0.06171256,0.02342418,0.4574976],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1972336,"threshold_uncertainty_score":0.659812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206364006381707,"score_gpt":0.2096171543776239,"score_spread":0.1975535143138068,"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."}}