{"id":"W7135341491","doi":"","title":"Scenario's gericht op koolstof dioxide emissiereductie: de rol van technology, efficientie en het tijdstip van actie","year":2000,"lang":"en","type":"report","venue":"Rivm Repository (Netherlands National Institute for Public Health and the Environment)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon tax; Quarter (Canadian coin); Variety (cybernetics); Carbon dioxide; Baseline (sea); Greenhouse gas; Climate change mitigation; Action (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007543629,0.001193838,0.001567044,0.00120156,0.002385271,0.0004026253,0.0013676,0.001454763,0.0002373537],"category_scores_gemma":[0.001416264,0.0009660987,0.000529728,0.0006760775,0.002280034,0.0006438135,0.0003392058,0.002032032,0.0001443496],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007578627,"about_ca_system_score_gemma":0.01487763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005715741,"about_ca_topic_score_gemma":0.00004664346,"domain_scores_codex":[0.9906336,0.0007985474,0.002026594,0.001741395,0.002874321,0.00192553],"domain_scores_gemma":[0.9943913,0.0005879881,0.002023702,0.001354831,0.0003178018,0.001324361],"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":[0.008148124,0.0104959,0.0204575,0.007421992,0.01500533,0.000550659,0.01159266,0.05625079,0.003186684,0.03730818,0.612239,0.2173432],"study_design_scores_gemma":[0.004152847,0.0003144096,0.0007013332,0.0001756716,0.0001937647,0.001498289,0.0001587573,0.0009623293,0.0001169069,0.002246202,0.9885619,0.0009175809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1685468,0.1203183,0.02905492,0.06289121,0.02007074,0.0406589,0.01549109,0.005139221,0.5378289],"genre_scores_gemma":[0.788158,0.01707884,0.006685533,0.002661517,0.01070541,0.007538444,0.01524275,0.00158117,0.1503483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6196113,"threshold_uncertainty_score":0.9998416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0310052476978592,"score_gpt":0.2927125134567029,"score_spread":0.2617072657588437,"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."}}