{"id":"W2345041345","doi":"10.14288/1.0099829","title":"Product innovation in heterogeneous R&D networks pathways to exploration and exploitation","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Technology Assessment and Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Business; Computer science; Mathematics","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":[0.001947316,0.0003217928,0.0003233156,0.002308363,0.001274493,0.004633684,0.0005794532,0.0007857423,0.004647613],"category_scores_gemma":[0.008318169,0.0003659602,0.0006182793,0.001592893,0.002281399,0.005359495,0.004874205,0.0007072372,0.0004876477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553754,"about_ca_system_score_gemma":0.001220303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001151465,"about_ca_topic_score_gemma":0.0010844,"domain_scores_codex":[0.998363,0.0006409958,0.00006522717,0.0003218233,0.0003112945,0.0002977086],"domain_scores_gemma":[0.9943293,0.002600479,0.001245319,0.0006079185,0.0004599292,0.0007570873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006433332,0.0005488424,0.1541491,0.000488971,0.0002182705,0.002427947,0.0173292,0.03883303,0.02050965,0.5828988,0.001026011,0.1809269],"study_design_scores_gemma":[0.0002046683,0.0009454124,0.178239,0.0003993686,0.0003069697,0.002620507,0.02365495,0.08123977,0.01308253,0.661724,0.03741115,0.0001717481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9013157,0.0006074909,0.03673902,0.0006527932,0.000006846859,0.00009788746,0.0000722744,0.0000508367,0.06045708],"genre_scores_gemma":[0.991763,0.0003296359,0.005224269,0.00003815583,0.000005049808,0.00005357077,0.00003626934,0.00000541522,0.002544587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004647613,"threshold_uncertainty_score":0.01554781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399360508957421,"score_gpt":0.1800710241798691,"score_spread":0.1660774190902949,"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."}}