{"id":"W6966261177","doi":"10.3886/e202941v1","title":"Data and Code for: Show Me the Money! A Field Experiment on Electric Vehicle Charge Timing","year":2025,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Flexibility (engineering); Electric vehicle; Incentive; Electricity; Measure (data warehouse); Charge (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.001856976,0.0007629789,0.0007558806,0.0004195132,0.0005499314,0.0006367688,0.009196201,0.0004386907,0.0001870744],"category_scores_gemma":[0.002125049,0.0006181863,0.00007084845,0.0006191555,0.0001056622,0.0007945705,0.007384787,0.001038481,0.0002348664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001704924,"about_ca_system_score_gemma":0.000217457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004306021,"about_ca_topic_score_gemma":0.0003562103,"domain_scores_codex":[0.9951287,0.0001305148,0.0006250418,0.002384123,0.0007882896,0.0009433555],"domain_scores_gemma":[0.9849687,0.001387298,0.0004795404,0.01291784,0.00006987791,0.0001766993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000218494,0.0001613778,0.000005236587,0.0001869126,0.0002524085,0.00001596,0.00004893304,4.625352e-7,0.003461248,0.00007243859,0.9945113,0.001065233],"study_design_scores_gemma":[0.0008412869,0.0001893623,0.000003991182,0.0003517086,0.0005076765,0.00001253317,0.00005577776,0.006754217,0.005033101,0.00002477241,0.9855915,0.0006340292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00040856,0.003578623,0.00003278379,0.00125594,0.0003972085,0.001607893,0.9925193,0.0001392905,0.00006038638],"genre_scores_gemma":[0.0002726497,0.001362163,0.0001821132,0.002288749,0.0004736455,0.000262666,0.994784,0.0001003811,0.000273631],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01053372,"threshold_uncertainty_score":0.9996269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1004506296621091,"score_gpt":0.3605077984697306,"score_spread":0.2600571688076215,"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."}}