{"id":"W3185652110","doi":"10.1017/pds.2021.60","title":"CARDINAL WTRL: TECHNOLOGY MATURITY, SCHEDULE SLIPPAGE AND TREND FORECASTING.","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Design Society","topic":"Technology Assessment and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Maturity (psychological); Schedule; Computer science; Process (computing); Operations research; Industrial engineering; Process management; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01064613,0.0008904996,0.0004009121,0.007768258,0.0004967234,0.002127578,0.001035563,0.0005167156,0.003614931],"category_scores_gemma":[0.04445539,0.0003832081,0.0009303945,0.006744872,0.0005728894,0.002997301,0.001374347,0.001228472,0.001073748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504891,"about_ca_system_score_gemma":0.001722553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01577684,"about_ca_topic_score_gemma":0.01493567,"domain_scores_codex":[0.9965208,0.001443408,0.0003327144,0.0004688225,0.001088367,0.0001458978],"domain_scores_gemma":[0.9803908,0.01012036,0.00393965,0.002000632,0.003151023,0.0003976298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004131381,0.0003557094,0.2317256,0.0004721088,0.0002455239,0.0003065265,0.001160099,0.1914771,0.002181139,0.05014599,0.01555171,0.5059654],"study_design_scores_gemma":[0.00002256855,0.0002492298,0.06018989,0.0001490831,0.00005079003,0.000161817,0.0008708035,0.9031346,0.001593794,0.02427996,0.00918352,0.0001139361],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.290916,0.0004612007,0.6739675,0.0008804437,0.0002058212,0.0009114118,0.01166963,0.004685711,0.01630235],"genre_scores_gemma":[0.6896983,0.0001786184,0.3009154,0.00004487798,0.00004345867,0.0004039546,0.005995732,0.0001332716,0.002586318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01577684,"threshold_uncertainty_score":0.05630279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640650805161066,"score_gpt":0.2010762470587755,"score_spread":0.1846697390071649,"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."}}