{"id":"W2140863794","doi":"10.5555/2017434.2017440","title":"Interpretation of formative measurement in information systems research","year":2009,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":708,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia","funders":"","keywords":"Formative assessment; Multicollinearity; Nomological network; Construct (python library); CLARITY; Interpretation (philosophy); Structural equation modeling; Computer science; Psychology; Mathematics education; Machine learning; Regression analysis","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"],"consensus_categories":[],"category_scores_codex":[0.3912878,0.004433957,0.003962141,0.01771406,0.007095632,0.02468822,0.007328288,0.007148987,0.00741274],"category_scores_gemma":[0.6678927,0.002153657,0.003592252,0.01839099,0.03432674,0.02782859,0.01223992,0.01377872,0.001181679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01244842,"about_ca_system_score_gemma":0.01220501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002313803,"about_ca_topic_score_gemma":0.001415257,"domain_scores_codex":[0.4460126,0.4537109,0.03525506,0.01598119,0.04612569,0.002914678],"domain_scores_gemma":[0.2747141,0.58332,0.04005883,0.05471553,0.0453212,0.001870335],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001643866,0.0001301712,0.005788923,0.002605748,0.0003475806,0.0002525165,0.02713791,0.002426188,0.0005575752,0.8935782,0.007065432,0.05994527],"study_design_scores_gemma":[0.0001025794,0.0001758312,0.002202958,0.003241704,0.0001257692,0.0002272179,0.006394611,0.005756484,0.001590832,0.9530479,0.02702938,0.0001046812],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01679504,0.008821335,0.8626228,0.04310234,0.005901318,0.002180386,0.0007782032,0.0005575636,0.05924099],"genre_scores_gemma":[0.5073341,0.004511171,0.4591788,0.01255005,0.003457794,0.0089719,0.000718609,0.0005915803,0.002685913],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3912878,"threshold_uncertainty_score":0.7506505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1409228907130452,"score_gpt":0.4076226579390167,"score_spread":0.2666997672259714,"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."}}