{"id":"W6948310496","doi":"10.5061/dryad.82nc3","title":"Data from: Electricity and water conservation on college and university campuses in response to national competitions among dormitories: quantifying relationships between behavior, conservation strategies and psychological metrics","year":2015,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Electricity; Competition (biology); Resource (disambiguation); Water conservation; Consumption (sociology); Mains electricity; Energy conservation","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":[0.001115355,0.0002354912,0.0003144455,0.001312005,0.0005187231,0.0007299526,0.0004889528,0.0004529186,0.004819401],"category_scores_gemma":[0.00482623,0.0001882318,0.00039731,0.002122458,0.00024911,0.0004439597,0.001052869,0.0007808558,0.001700393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006915419,"about_ca_system_score_gemma":0.0007460677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02241336,"about_ca_topic_score_gemma":0.04096575,"domain_scores_codex":[0.9989716,0.0002120588,0.0001252454,0.0001851403,0.0004006199,0.0001053353],"domain_scores_gemma":[0.9916244,0.001985146,0.002464155,0.000678975,0.001820797,0.001426619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004058473,0.0006253705,0.9630073,0.000194548,0.0001098179,0.00007614389,0.001082232,0.0005425888,0.001485043,0.0001207994,0.01664521,0.01570509],"study_design_scores_gemma":[0.00001066293,0.0001095534,0.995795,0.000009852691,0.000008427357,0.00001865171,0.0005460529,0.0002064285,0.0002475357,0.00001461191,0.003024193,0.000009026649],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9233611,0.00004629297,0.000333854,0.0001351924,0.0000168914,0.0002009907,0.07260993,0.00006658753,0.003229204],"genre_scores_gemma":[0.8654483,0.0001070846,0.002067511,0.0002035341,0.00002800667,0.001365807,0.1247731,0.00005265859,0.005953881],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02241336,"threshold_uncertainty_score":0.0445658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1201294603552116,"score_gpt":0.3305564274794201,"score_spread":0.2104269671242085,"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."}}