{"id":"W2089779090","doi":"10.1109/icsm.2007.4362639","title":"How Programmers can Turn Comments into Waypoints for Code Navigation","year":2007,"lang":"en","type":"article","venue":"Proceedings/Proceedings - Conference on Software Maintenance","topic":"Software Engineering Research","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Victoria","funders":"","keywords":"Computer science; Software engineering; Software; Software development; Code (set theory); Software maintenance; Human–computer interaction; Programming language","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"],"consensus_categories":[],"category_scores_codex":[0.002320088,0.0008574668,0.0007118526,0.0006345225,0.0006393604,0.00220009,0.002925713,0.0003877348,0.000006058457],"category_scores_gemma":[0.004934255,0.0008245428,0.0002479118,0.001703665,0.0003364069,0.001831267,0.000590187,0.0009889218,0.00002959354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008806252,"about_ca_system_score_gemma":0.0002236652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004559015,"about_ca_topic_score_gemma":0.00001364676,"domain_scores_codex":[0.9934602,0.0000071677,0.0007627515,0.001914063,0.00156288,0.002292881],"domain_scores_gemma":[0.9939653,0.0004794507,0.0005672561,0.0004412137,0.00375841,0.0007883169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007689692,0.0008669521,0.1047469,0.002972351,0.000325986,0.00006388686,0.01424708,0.000009096168,0.01955622,0.4835239,0.03156833,0.3413504],"study_design_scores_gemma":[0.02323068,0.01283018,0.0732433,0.0134744,0.0003169476,0.001069127,0.01883272,0.06471506,0.3181455,0.21056,0.2474229,0.01615916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1974533,0.00009190635,0.782553,0.01058796,0.001220366,0.003481799,0.00004986072,0.003571004,0.0009908627],"genre_scores_gemma":[0.8278713,0.00002403246,0.1696649,0.0006697433,0.0002370983,0.0005930043,0.00002558226,0.0001188023,0.0007955317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.630418,"threshold_uncertainty_score":0.9994205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03317168845903403,"score_gpt":0.2878660248895109,"score_spread":0.2546943364304769,"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."}}