{"id":"W1935000665","doi":"10.15252/embr.201439672","title":"The outsourcing and commercialization of science","year":2014,"lang":"en","type":"article","venue":"EMBO Reports","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Commercialization; Outsourcing; Business; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01882291,0.00003900382,0.00008471173,0.0001222956,0.0006057499,0.0004311008,0.0003576406,0.000008924912,0.000009956679],"category_scores_gemma":[0.00894193,0.00002210534,0.00001834572,0.000745724,0.0005933394,0.0001495357,0.0003959541,0.00002595661,0.00000543415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007023999,"about_ca_system_score_gemma":0.00002921573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002985626,"about_ca_topic_score_gemma":0.00001549458,"domain_scores_codex":[0.9979593,0.00006489807,0.0004351868,0.0003443251,0.001074139,0.0001221646],"domain_scores_gemma":[0.9979469,0.0005248105,0.0003317951,0.0009249076,0.0002247303,0.00004689262],"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":[0.000005178642,0.00003262403,0.1103265,0.000006097756,0.000005535292,0.000008966851,0.002263362,0.002013736,0.001135523,0.03574312,0.05045188,0.7980074],"study_design_scores_gemma":[0.000121706,0.00004558433,0.2758066,0.00003257424,0.00001173412,0.00006572917,0.001602689,0.1107001,0.001830261,0.09560858,0.5140058,0.0001686399],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8640112,0.00006484141,0.09513636,0.001135353,0.002576137,0.0001206622,5.261532e-7,0.00002922088,0.03692571],"genre_scores_gemma":[0.9985892,0.000001347785,0.0003126617,0.00005830981,0.00002961618,6.756159e-7,4.536019e-7,0.00000156787,0.001006129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7978388,"threshold_uncertainty_score":0.9994062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06757157329259897,"score_gpt":0.3730378619928199,"score_spread":0.305466288700221,"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."}}