{"id":"W7015867895","doi":"","title":"Ãtude d'algorithmes en visualisation et exploration de grands graphes Ã  l'aide de valuations","year":2006,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Point (geometry); Limiting; Noise (video)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002339411,0.001661285,0.001240344,0.001445704,0.000836029,0.004801905,0.001883009,0.001795254,0.009532502],"category_scores_gemma":[0.008266964,0.0009510656,0.00200856,0.001298574,0.001303962,0.003691541,0.002233157,0.002129445,0.003054021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158558,"about_ca_system_score_gemma":0.001342145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005822971,"about_ca_topic_score_gemma":0.005666554,"domain_scores_codex":[0.9983885,0.0005068281,0.00008857504,0.0004036899,0.0004925091,0.0001199536],"domain_scores_gemma":[0.9957955,0.002609113,0.0001570043,0.0005894895,0.0006990427,0.000149793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004645915,0.0001258641,0.002223938,0.0009518291,0.0002399215,0.0004585673,0.001924456,0.1345736,0.06828031,0.08798059,0.01098915,0.6917871],"study_design_scores_gemma":[0.00005672413,0.0001448046,0.001086117,0.0001656133,0.00006028614,0.0004592222,0.0004531359,0.8525882,0.04661935,0.04989206,0.04840137,0.00007303736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01006581,0.0004212565,0.9820685,0.0003996517,0.00007833032,0.0000411803,0.00009819802,0.004092921,0.002734044],"genre_scores_gemma":[0.103564,0.001130737,0.883857,0.0002220241,0.00005391697,0.000183269,0.0004964458,0.001663169,0.008829377],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009532502,"threshold_uncertainty_score":0.03188944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008096542542972431,"score_gpt":0.1848572274035961,"score_spread":0.1767606848606237,"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."}}