{"id":"W2605809407","doi":"10.1016/j.lisr.2017.03.004","title":"Toward collaborator selection and determination of data ownership and publication authorship in research collaborations","year":2017,"lang":"en","type":"article","venue":"Library & Information Science Research","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National High Magnetic Field Laboratory; Florida State University; City University of New York; University of Florida; U.S. Department of Energy; National Science Foundation","keywords":"Reputation; Negotiation; Order (exchange); Affect (linguistics); Quality (philosophy); Psychology; Selection (genetic algorithm); Public relations; Knowledge management; Sociology; Computer science; Business; Political science; Social science; Epistemology","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.1375858,0.0006443611,0.001536246,0.009453777,0.003944826,0.0111162,0.002466177,0.002430736,0.002815737],"category_scores_gemma":[0.4811261,0.0006925443,0.001670769,0.01077275,0.003089752,0.009252107,0.008499838,0.002237234,0.0006042321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958504,"about_ca_system_score_gemma":0.008105774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0045332,"about_ca_topic_score_gemma":0.004163418,"domain_scores_codex":[0.877687,0.08903983,0.01016312,0.00833041,0.01075505,0.004024621],"domain_scores_gemma":[0.3370075,0.5399969,0.04803037,0.03389586,0.03533561,0.005733752],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004969492,0.0002095688,0.9122126,0.0002051198,0.0003945069,0.0001676987,0.006664759,0.002208806,0.0007674822,0.01497898,0.001000271,0.0606933],"study_design_scores_gemma":[0.0005545919,0.0008350051,0.5557952,0.0009997373,0.001993733,0.001435957,0.0408937,0.1763159,0.01685125,0.191632,0.01241541,0.0002775171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9101352,0.0007398114,0.07847898,0.001999887,0.00007643594,0.0002724047,0.0006729607,0.00009938265,0.00752493],"genre_scores_gemma":[0.9805605,0.0000641378,0.01851509,0.00004898845,0.00003361463,0.0001314718,0.0002449829,0.00001348045,0.0003876512],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9975693,"threshold_uncertainty_score":0.727632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8869103465194283,"score_gpt":0.6618444333474954,"score_spread":0.2250659131719329,"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."}}