{"id":"W2724153466","doi":"","title":"COMPARING GOAL SETTING APPROACHES TO BOOST COMPUTER-RELATED PRO-ENVIRONMENTAL BEHAVIORS","year":2017,"lang":"en","type":"article","venue":"European Conference on Information Systems","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Human–computer interaction; Process management; Engineering","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":[0.002026228,0.0008157075,0.0004647087,0.000802251,0.0002955728,0.0009878055,0.0008280867,0.0008235188,0.005146401],"category_scores_gemma":[0.00919544,0.0002539929,0.0005063658,0.000462617,0.0003126674,0.000845643,0.0007689074,0.001342254,0.0006027716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00083431,"about_ca_system_score_gemma":0.0009798687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001951947,"about_ca_topic_score_gemma":0.003282621,"domain_scores_codex":[0.999191,0.0003739911,0.00004330944,0.0001448815,0.0001547961,0.00009193984],"domain_scores_gemma":[0.9953472,0.003434512,0.0002383698,0.000261417,0.000280846,0.0004375903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03780764,0.05066209,0.03558493,0.001826398,0.001524444,0.00009007198,0.0009061939,0.2117433,0.01407516,0.01306601,0.005401425,0.6273124],"study_design_scores_gemma":[0.0120557,0.07219468,0.09257188,0.0004853058,0.003406215,0.0001325399,0.002195299,0.7495194,0.01809781,0.04109433,0.008037963,0.0002088594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682456,0.0007838194,0.01941466,0.0004030145,0.0001562665,0.0003250646,0.000152327,0.0004427426,0.01007654],"genre_scores_gemma":[0.9880133,0.0002138274,0.009934004,0.00009539435,0.0000173997,0.0002492652,0.0001086876,0.00002907511,0.001339051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005146401,"threshold_uncertainty_score":0.01721644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07982983833376628,"score_gpt":0.2368135112848747,"score_spread":0.1569836729511085,"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."}}