{"id":"W2127964821","doi":"10.3917/i2d.152.0032","title":"Recherche en visualisation d’information ou Dataviz : pourquoi et comment ?","year":2015,"lang":"fr","type":"article","venue":"I2D - Information données & documents","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Humanities; Computer science; Philosophy","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","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.00511548,0.0004429503,0.0003460788,0.0005212413,0.0002486098,0.003733642,0.001408734,0.0004459076,0.0003035906],"category_scores_gemma":[0.001634086,0.0004703983,0.0001138248,0.001132366,0.00009548381,0.05600127,0.0008795868,0.0005805345,0.006548668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00095011,"about_ca_system_score_gemma":0.0007641448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004732971,"about_ca_topic_score_gemma":0.00002691045,"domain_scores_codex":[0.9950357,0.001027505,0.001616975,0.0002686459,0.001450989,0.0006001505],"domain_scores_gemma":[0.9962306,0.0003313988,0.001022398,0.0009602853,0.0009529059,0.000502427],"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":[0.00003674399,0.0002003592,0.000490525,0.0002139065,0.00009512827,0.000002102764,0.03005341,0.002127068,0.000002894817,0.4071545,0.4391049,0.1205184],"study_design_scores_gemma":[0.001602244,0.0001548119,0.0002855552,0.0001858845,0.00004844037,0.00002166567,0.002624802,0.1680035,0.0001848196,0.004640349,0.8218089,0.0004391234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.0007142976,0.000245855,0.8868823,0.07555753,0.003960669,0.0009404888,0.0005636726,0.0003777138,0.03075749],"genre_scores_gemma":[0.1901069,0.009017601,0.2935186,0.3752932,0.002090423,0.0004906268,0.09138212,0.0002084841,0.0378921],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5933637,"threshold_uncertainty_score":0.9997748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.250858938396759,"score_gpt":0.4198673882354041,"score_spread":0.1690084498386452,"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."}}