{"id":"W1855778378","doi":"10.3968/j.css.1923669720130905.2727","title":"On How to Create a Harmonious Researching Environment by Analyzing the Humanized Social Science Administration","year":2013,"lang":"en","type":"article","venue":"Canadian social science","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Administration (probate law); Reputation; Value (mathematics); Function (biology); Perspective (graphical); Quality (philosophy); Engineering ethics; Social function; Sociology; Public relations; Political science; Social science; Computer science; Epistemology; Engineering; Law","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04876699,0.0008012234,0.0008986789,0.005492683,0.01801245,0.02930362,0.002757785,0.002821213,0.004853489],"category_scores_gemma":[0.03780822,0.0006403045,0.001287735,0.003600304,0.06942998,0.02227451,0.01171337,0.005474857,0.001155198],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009626844,"about_ca_system_score_gemma":0.03372515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00570811,"about_ca_topic_score_gemma":0.01118331,"domain_scores_codex":[0.9627945,0.03002764,0.0006531217,0.002259314,0.002560123,0.001705339],"domain_scores_gemma":[0.9639968,0.01581697,0.00359961,0.007093709,0.005458525,0.004034372],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002992551,0.0001769765,0.005815735,0.0002493842,0.00006509932,0.0003725257,0.08872278,0.0009350979,0.0009564871,0.8360355,0.0086095,0.05803093],"study_design_scores_gemma":[0.00003196653,0.00007800788,0.00626701,0.0004621085,0.00004457618,0.0001840858,0.09994788,0.001447566,0.001200645,0.7924738,0.09777611,0.00008610576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.123231,0.004526292,0.3367738,0.2586773,0.001495869,0.001461039,0.000178865,0.00104044,0.2726153],"genre_scores_gemma":[0.7321972,0.002147395,0.2483971,0.006669287,0.0002757347,0.000840936,0.00009266773,0.0003486898,0.009030961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9903731,"threshold_uncertainty_score":0.2579076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04182050365234734,"score_gpt":0.3449068166044834,"score_spread":0.3030863129521361,"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."}}