{"id":"W3211285223","doi":"","title":"Characterizing graphs from diffused worshop","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Graph theory and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Laplacian matrix; Graph; Signal processing; Theoretical computer science; Algorithm; Digital signal processing","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":[0.0007010631,0.001058462,0.001154284,0.00229219,0.00145237,0.002372252,0.00240258,0.002218509,0.01063703],"category_scores_gemma":[0.008833271,0.0009419157,0.0009135794,0.00247771,0.002386544,0.004683774,0.002959622,0.002744577,0.001847874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001349315,"about_ca_system_score_gemma":0.0005525977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001542076,"about_ca_topic_score_gemma":0.002217795,"domain_scores_codex":[0.9988273,0.0002755166,0.0000375311,0.0004456009,0.0003084109,0.0001056562],"domain_scores_gemma":[0.9916066,0.003714094,0.001200542,0.001562515,0.0009929421,0.0009232644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002039486,0.0000875004,0.002815053,0.0005518458,0.00006563416,0.0005519378,0.001332652,0.03744411,0.006048189,0.9060919,0.01337303,0.03143423],"study_design_scores_gemma":[0.00002185998,0.00003697027,0.0007767418,0.00004778982,0.00002715734,0.0004297103,0.0004397075,0.03587203,0.00158183,0.9498262,0.01091744,0.00002257231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4336655,0.001262406,0.5009023,0.002535633,0.0002516496,0.0002600487,0.002274256,0.001121851,0.05772638],"genre_scores_gemma":[0.8558749,0.00119488,0.08915352,0.0009951417,0.0004862677,0.0001556312,0.00354922,0.001046111,0.04754433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01063703,"threshold_uncertainty_score":0.03558439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02798208326801594,"score_gpt":0.2574491321292934,"score_spread":0.2294670488612774,"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."}}