{"id":"W7005105962","doi":"","title":"Patterns of open innovation within product development: a comparative study between Brazilian and Canadian aerospace industries.","year":2013,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Aerospace; Work (physics); Process (computing); Context (archaeology); Frame (networking)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001543784,0.0003799514,0.0004084946,0.005771733,0.004380933,0.003340847,0.001136962,0.0007244539,0.002095355],"category_scores_gemma":[0.007114419,0.0004586977,0.0003672353,0.01430945,0.002165769,0.001132332,0.002076856,0.0006099144,0.0002192704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02737631,"about_ca_system_score_gemma":0.03073233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.959819,"about_ca_topic_score_gemma":0.9812828,"domain_scores_codex":[0.9979692,0.0001619521,0.00007992993,0.0002656017,0.0009377488,0.000585629],"domain_scores_gemma":[0.9945004,0.001265341,0.00102311,0.0001621438,0.002279359,0.0007696296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001183877,0.0001645478,0.6255408,0.000535202,0.0000433106,0.0009114093,0.2638313,0.0002134786,0.002636364,0.005005623,0.001849655,0.09914995],"study_design_scores_gemma":[0.000002599135,0.00004375133,0.8301452,0.0001102382,0.00001935499,0.0002524319,0.1508772,0.0002692185,0.0002873081,0.0001839065,0.01777564,0.00003318435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985784,0.001181022,0.0003435461,0.0004319892,0.000007015407,0.0000734709,0.000597474,0.00001050651,0.01157083],"genre_scores_gemma":[0.9944311,0.001304485,0.0006450728,0.00006892769,0.000002947323,0.00002759552,0.0004516056,0.000007424211,0.003060827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04018098,"threshold_uncertainty_score":0.19863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02090705425728844,"score_gpt":0.2779858838171069,"score_spread":0.2570788295598185,"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."}}