{"id":"W2151872462","doi":"10.1287/isre.13.1.91.93","title":"Research Report: Better Theory Through Measurement—Developing a Scale to Capture Consensus on Appropriation","year":2002,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":187,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; Western University","funders":"","keywords":"Appropriation; Construct (python library); Computer science; Nomological network; Scale (ratio); Development theory; Data science; Context (archaeology); Construct validity; Management science; Epistemology; Psychology; Structural equation modeling; Machine learning; Psychometrics; Engineering; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.07132719,0.0006899044,0.001007956,0.003147541,0.001548574,0.004214739,0.00166221,0.001599023,0.007326963],"category_scores_gemma":[0.2030811,0.0006527487,0.001047348,0.003400156,0.002112083,0.008491022,0.00375751,0.003215537,0.003581087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0024111,"about_ca_system_score_gemma":0.006463367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083044,"about_ca_topic_score_gemma":0.000913233,"domain_scores_codex":[0.9522533,0.02455674,0.006333279,0.002382202,0.01369871,0.0007758012],"domain_scores_gemma":[0.806015,0.09362386,0.01127693,0.02663897,0.05897705,0.003468095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000273045,0.001939054,0.09902655,0.00212951,0.0001404162,0.0002840733,0.02860606,0.001744898,0.007401342,0.05416066,0.05829965,0.7459947],"study_design_scores_gemma":[0.0005355761,0.00549189,0.2945235,0.003946258,0.0004125706,0.001480768,0.05332898,0.02971173,0.02090667,0.1100952,0.4790284,0.0005383943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3060142,0.001700029,0.527032,0.02345234,0.003465909,0.02778568,0.006756448,0.002721417,0.101072],"genre_scores_gemma":[0.3363303,0.001026677,0.6218448,0.002001418,0.0003591931,0.02869241,0.00300733,0.0004750017,0.00626292],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07132719,"threshold_uncertainty_score":0.3772188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2499821257651017,"score_gpt":0.4292586744460278,"score_spread":0.1792765486809261,"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."}}