{"id":"W2588206991","doi":"10.5120/ijca2017912998","title":"Original Design in a Copying - Intensive Industry","year":2017,"lang":"en","type":"article","venue":"International Journal of Computer Applications","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Copying; Computer science; Law; Political science","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":[0.009053617,0.0005195643,0.0003564667,0.001539948,0.001627978,0.003003573,0.000978009,0.0009643459,0.01832732],"category_scores_gemma":[0.02676822,0.0003536068,0.0005148688,0.001664879,0.003872642,0.00215407,0.002193654,0.0008673985,0.002103392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002156654,"about_ca_system_score_gemma":0.002121076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008019777,"about_ca_topic_score_gemma":0.001344686,"domain_scores_codex":[0.9911267,0.004524425,0.0006227065,0.0006680384,0.002760367,0.0002978555],"domain_scores_gemma":[0.9681163,0.01528572,0.0030195,0.01008126,0.002808489,0.0006887093],"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":[0.0005350497,0.0008268381,0.03734019,0.001521164,0.0001148144,0.002243378,0.03181368,0.01849319,0.02456816,0.2422165,0.008046277,0.6322806],"study_design_scores_gemma":[0.0006652657,0.004112802,0.05868596,0.001048352,0.0002854973,0.006900732,0.02119843,0.0430176,0.03716325,0.3208414,0.505828,0.0002526876],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6059312,0.001424432,0.1634156,0.001631729,0.0001907022,0.001277803,0.0002229715,0.0004672857,0.2254383],"genre_scores_gemma":[0.8804092,0.0006680883,0.08339461,0.0001916235,0.00003882426,0.0002563095,0.0001651343,0.0001266829,0.03474953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01832732,"threshold_uncertainty_score":0.06131101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02393437894352741,"score_gpt":0.2875827216690152,"score_spread":0.2636483427254878,"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."}}