{"id":"W3088706309","doi":"10.1109/procomm48883.2020.00006","title":"Merging Territories, Part III: Reaching Maturity and Responding to Change","year":2020,"lang":"en","type":"article","venue":"","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Scrutiny; Maturity (psychological); Publishing; Computer science; Population; Engineering management; Degree program; Program Design Language; Research program; Library science; Operations research; Public relations; Political science; Engineering; Sociology; Software engineering; Medical education","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":[0.05148908,0.0005842884,0.000783067,0.002851318,0.01234689,0.023435,0.002873994,0.005252552,0.01514621],"category_scores_gemma":[0.07639088,0.0008386624,0.0008783173,0.003475619,0.0188169,0.02953291,0.02818031,0.007038873,0.003044571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01116137,"about_ca_system_score_gemma":0.04460272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009397906,"about_ca_topic_score_gemma":0.01044114,"domain_scores_codex":[0.9476022,0.03328592,0.002184047,0.002936094,0.007819402,0.006172439],"domain_scores_gemma":[0.9550053,0.01979225,0.003357397,0.005105684,0.007414768,0.0093246],"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":[0.00004790141,0.0002192305,0.01053319,0.0005965366,0.00003445435,0.0004244978,0.2008921,0.0004924312,0.001227559,0.4602805,0.03629473,0.2889569],"study_design_scores_gemma":[0.00001692244,0.000239152,0.0114145,0.001391046,0.00002880697,0.0004077986,0.2017584,0.0008467901,0.001632548,0.1790583,0.6031263,0.00007950614],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1249298,0.009244491,0.07898339,0.185676,0.002064002,0.001940432,0.0001934891,0.001000614,0.5959678],"genre_scores_gemma":[0.8229693,0.006809764,0.06249533,0.01355649,0.0004276751,0.0020643,0.0003292941,0.0006629992,0.09068475],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05148908,"threshold_uncertainty_score":0.2723035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05577311682797804,"score_gpt":0.3078529635488143,"score_spread":0.2520798467208362,"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."}}