{"id":"W1620393025","doi":"10.22215/timreview/674","title":"Partner Selection for Open Innovation","year":2013,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Open innovation; Causation; Business; Selection (genetic algorithm); Industrial organization; Knowledge management; Empirical evidence; Marketing; Computer science; Political science","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":[0.01036518,0.0005221009,0.0008422795,0.002347531,0.001740601,0.004260712,0.001291469,0.00175889,0.1728586],"category_scores_gemma":[0.06019954,0.0001993243,0.0007375287,0.00285691,0.0009333916,0.003159208,0.004528473,0.001385166,0.01619072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009371905,"about_ca_system_score_gemma":0.002245147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005968224,"about_ca_topic_score_gemma":0.000868501,"domain_scores_codex":[0.9895402,0.004103926,0.0007191995,0.001652361,0.002435169,0.001549078],"domain_scores_gemma":[0.9472389,0.02765502,0.007031595,0.006477336,0.006751003,0.00484617],"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":[0.001002741,0.000336096,0.09251892,0.001612622,0.0002149348,0.00142853,0.001427555,0.002099924,0.001714297,0.2784152,0.1045304,0.5146987],"study_design_scores_gemma":[0.0004128947,0.0007583345,0.06199212,0.001399732,0.000424751,0.00476944,0.003713916,0.009957511,0.006420869,0.3492272,0.5607953,0.000128],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1672858,0.008205385,0.1324189,0.01829015,0.002454392,0.001981859,0.008426705,0.001763947,0.659173],"genre_scores_gemma":[0.9267291,0.001623092,0.01640589,0.002150869,0.0006351665,0.001018517,0.002473745,0.000198117,0.04876554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1728586,"threshold_uncertainty_score":0.5782696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04334385750800263,"score_gpt":0.3422141855138204,"score_spread":0.2988703280058178,"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."}}