{"id":"W6983447489","doi":"","title":"M-Green, a new way for visualizing software metrics","year":2007,"lang":"fr","type":"dissertation","venue":"UPCommons institutional repository (Universitat Politècnica de Catalunya)","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software; Visualization; Software system; Context (archaeology); Software technology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009315392,0.0008061324,0.0009355568,0.001219749,0.007696338,0.0002464835,0.001298867,0.001185666,0.0001390205],"category_scores_gemma":[0.001321954,0.001007636,0.0009763647,0.002258374,0.001612757,0.001223108,0.0002285649,0.0008290184,0.0001380279],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004311353,"about_ca_system_score_gemma":0.005675834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02353792,"about_ca_topic_score_gemma":0.008344994,"domain_scores_codex":[0.9946951,0.00030832,0.0009408546,0.001129662,0.001488012,0.001438035],"domain_scores_gemma":[0.9938906,0.002211634,0.0008794043,0.0006243953,0.001311017,0.001082887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004801477,0.0005156851,0.01105442,0.0004959476,0.001387958,0.0003043097,0.03924862,0.0003925814,0.000228037,0.9020808,0.03310704,0.01070443],"study_design_scores_gemma":[0.002408018,0.0003608755,0.01310052,0.0007142284,0.00189502,0.0001518773,0.07124396,0.00107422,0.0006832315,0.006602791,0.8997405,0.002024828],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1764168,0.03606966,0.187846,0.007455612,0.02290565,0.004855298,0.002147626,0.001345991,0.5609573],"genre_scores_gemma":[0.6538799,0.0008736443,0.02680757,0.0009330267,0.004631178,0.00008580368,0.003489393,0.0001628584,0.3091367],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.895478,"threshold_uncertainty_score":0.9999611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04568297074482684,"score_gpt":0.3343576789975811,"score_spread":0.2886747082527542,"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."}}