{"id":"W3166730449","doi":"","title":"Implementation and Deployment of IMS-LD - Outcomes of the IDLD Project","year":2006,"lang":"en","type":"article","venue":"R-libre (Université Téluq)","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Reusability; Computer science; Process (computing); Software engineering; Bridge (graph theory); Set (abstract data type); Quality function deployment; Systems engineering; Process management; Engineering management; Engineering; Software; Operations management; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0004247212,0.00009589611,0.0001784576,0.00007376327,0.0001069634,0.000005307424,0.0001507844,0.00005419855,0.0001361476],"category_scores_gemma":[0.000009819426,0.00007517615,0.0000670988,0.0003026845,0.00009198281,0.00007859372,0.00007778353,0.0001425612,0.000002269428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002975571,"about_ca_system_score_gemma":0.00002745394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003341327,"about_ca_topic_score_gemma":0.00009313777,"domain_scores_codex":[0.9989936,0.0003980343,0.0001700253,0.0001607361,0.0001352654,0.000142371],"domain_scores_gemma":[0.9993831,0.0001064835,0.0002361419,0.0002144505,0.00004845704,0.00001138804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000631743,0.0001075455,0.7149482,0.00002987648,0.0001478387,0.000003583931,0.005942479,0.000006249184,0.006270676,0.02200695,0.003993606,0.2464799],"study_design_scores_gemma":[0.0008010816,0.00009414857,0.9840738,0.00001128279,0.00004603709,0.000003986422,0.002756073,0.00000659511,0.00154699,0.0002550268,0.0103285,0.00007649111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911026,0.00006301524,0.0008342449,0.000540396,0.0001553864,0.0002009953,0.00001483756,0.000032652,0.007055885],"genre_scores_gemma":[0.9949145,0.000001550836,0.001049114,0.00005310643,0.00002189016,0.000001923767,0.000007258689,0.00001243916,0.003938168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2691256,"threshold_uncertainty_score":0.5051109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250248276426869,"score_gpt":0.3419587909171237,"score_spread":0.319456308152855,"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."}}