{"id":"W6967222719","doi":"10.4224/21274688","title":"Moulding a productive future with digital technology: case study","year":2014,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Production (economics); Process (computing); Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00177953,0.0009684551,0.0004095831,0.003081704,0.01380918,0.005667736,0.002023553,0.008399225,0.01570564],"category_scores_gemma":[0.009842005,0.0005257141,0.001003812,0.002393105,0.006868389,0.004626375,0.004352109,0.004567206,0.002517296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002845099,"about_ca_system_score_gemma":0.002467623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003785886,"about_ca_topic_score_gemma":0.01075791,"domain_scores_codex":[0.9981911,0.0006271042,0.00007705569,0.0001585232,0.0004314305,0.0005147504],"domain_scores_gemma":[0.9959372,0.001908586,0.0004356702,0.00024884,0.0001878902,0.001281681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002980742,0.003513804,0.02348496,0.0006329744,0.00006520258,0.6161,0.1632791,0.001352386,0.001651752,0.07418063,0.02793013,0.08751091],"study_design_scores_gemma":[0.00005731526,0.0005289595,0.006171911,0.0008867039,0.00007104473,0.5325179,0.2806508,0.001853253,0.002495082,0.01409827,0.1605695,0.00009925646],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8289967,0.003230426,0.007363547,0.016312,0.0006053,0.0003352526,0.0001694915,0.000106236,0.142881],"genre_scores_gemma":[0.9301002,0.003075932,0.004695712,0.0010877,0.0001530834,0.000120579,0.00006897976,0.00005010857,0.06064774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01570564,"threshold_uncertainty_score":0.0525406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166437784731358,"score_gpt":0.2935564710975341,"score_spread":0.2718920932502205,"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."}}