{"id":"W4251936336","doi":"10.17323/2500-2597.2017.2.44.53","title":"How Will Open Science Impact on University-Industry Collaboration?","year":2017,"lang":"en","type":"article","venue":"Foresight-Russia","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Openness to experience; Open science; Pace; Intellectual property; Balance (ability); Quality (philosophy); Publication; Public relations; Business; Political science; Psychology; Law; Advertising","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":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.05552658,0.0004505698,0.0009061167,0.002711553,0.007753365,0.03580659,0.001689929,0.008604993,0.02061471],"category_scores_gemma":[0.1169291,0.000402729,0.0009435316,0.003696527,0.01368153,0.0269154,0.01533387,0.005564764,0.003855814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01021529,"about_ca_system_score_gemma":0.02066449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003192598,"about_ca_topic_score_gemma":0.00240313,"domain_scores_codex":[0.9524023,0.02762811,0.001214557,0.002041293,0.008267684,0.008446076],"domain_scores_gemma":[0.8872418,0.07247833,0.01002081,0.004984675,0.009084839,0.01618958],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000268681,0.0003246454,0.01017467,0.0004299022,0.00007950957,0.0003506838,0.004403747,0.001804502,0.0002967155,0.9045699,0.01379808,0.06349902],"study_design_scores_gemma":[0.0001114912,0.0002236124,0.006286595,0.0006312485,0.00005374923,0.0001491676,0.01247001,0.001172038,0.0007300479,0.852267,0.1258278,0.00007728795],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1418992,0.01008353,0.01209508,0.3231188,0.002408194,0.0002877912,0.0003389858,0.0001543235,0.509614],"genre_scores_gemma":[0.9774674,0.003607972,0.002446068,0.007819376,0.0007498841,0.0001641708,0.00005933706,0.00004778646,0.007638237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9983101,"threshold_uncertainty_score":0.2936561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0816045976455185,"score_gpt":0.428215245697788,"score_spread":0.3466106480522695,"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."}}