{"id":"W2918205015","doi":"","title":"Kernels in tensor product of digraphs I.","year":2018,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Tensor product; Product (mathematics); Tensor (intrinsic definition); Pure mathematics; Geometry","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":[0.001126314,0.0005501859,0.0006652517,0.003217922,0.001534709,0.005372909,0.0009447942,0.0008477313,0.007158456],"category_scores_gemma":[0.005423511,0.0005938035,0.0009956231,0.002347847,0.002229986,0.007593215,0.002655566,0.001565172,0.001558299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587538,"about_ca_system_score_gemma":0.0006754764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002072988,"about_ca_topic_score_gemma":0.001909835,"domain_scores_codex":[0.9985789,0.0002771698,0.0001601936,0.0004291548,0.0003231248,0.0002315015],"domain_scores_gemma":[0.9958987,0.001272426,0.0006592303,0.0007983114,0.0006714476,0.0006998642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005653937,0.00004681685,0.001454391,0.00007936014,0.00002355137,0.000195039,0.0005315673,0.001880639,0.001471975,0.9787893,0.002141819,0.01332909],"study_design_scores_gemma":[0.000009355244,0.00004285572,0.0008996731,0.00004495312,0.00004494476,0.0005066267,0.0003353856,0.0237724,0.001866787,0.9619119,0.01053565,0.00002936725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3680828,0.001314239,0.5752957,0.0009625746,0.000241171,0.0001228359,0.001466735,0.001682629,0.0508314],"genre_scores_gemma":[0.9093658,0.0006717883,0.06690836,0.0002165957,0.0001636198,0.00007901089,0.001197354,0.0003563809,0.02104132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007158456,"threshold_uncertainty_score":0.02394742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145818715489182,"score_gpt":0.248004087021771,"score_spread":0.2334222154728528,"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."}}