{"id":"W4400920634","doi":"10.36315/2024v1end028","title":"The contribution of a collaborative approach in understanding resistance factors when implementing change","year":2024,"lang":"en","type":"article","venue":"","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resistance (ecology); Computer science; Process management; Human–computer interaction; Knowledge management; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0854036,0.00148697,0.001150886,0.01115087,0.01403945,0.02845884,0.00458086,0.004910689,0.003508363],"category_scores_gemma":[0.1095114,0.001163537,0.001471757,0.004300717,0.02076856,0.01895908,0.0190328,0.006542577,0.0007384201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01404867,"about_ca_system_score_gemma":0.04463333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02503907,"about_ca_topic_score_gemma":0.04567552,"domain_scores_codex":[0.8621051,0.1120776,0.004412388,0.006118098,0.01125097,0.004035895],"domain_scores_gemma":[0.8289158,0.1218145,0.01000331,0.01497582,0.01632936,0.007961226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006838446,0.0007329945,0.03495919,0.001327787,0.0002034442,0.001186794,0.6979085,0.0007185329,0.001309149,0.03428422,0.003016428,0.2242846],"study_design_scores_gemma":[0.00006531969,0.0004605305,0.03657808,0.003693281,0.0002940783,0.001483234,0.8023328,0.003809488,0.001549835,0.06494641,0.08455243,0.0002344437],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4600252,0.006788074,0.2753781,0.0655281,0.001014947,0.005030659,0.0002012201,0.0006199233,0.1854137],"genre_scores_gemma":[0.8424639,0.002167612,0.1483191,0.001877633,0.0001083169,0.00132517,0.00007493707,0.00008311858,0.003580065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0854036,"threshold_uncertainty_score":0.4516628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4261536050827622,"score_gpt":0.5045879513493663,"score_spread":0.07843434626660412,"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."}}