{"id":"W7051761558","doi":"","title":"Panel Reviews Under the Proposed Federal Impact Assessment Act (IAA)","year":2018,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Context (archaeology); Timeline; Process (computing); Impact assessment; Decision process","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05687039,0.0006855684,0.0008862097,0.003688342,0.007856186,0.01324935,0.005212332,0.009192134,0.01844141],"category_scores_gemma":[0.07845363,0.0009303804,0.001648884,0.002645982,0.003160689,0.003511572,0.002763297,0.006072815,0.01274411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02042003,"about_ca_system_score_gemma":0.107693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.25002,"about_ca_topic_score_gemma":0.3560777,"domain_scores_codex":[0.9216421,0.01170515,0.004533127,0.004568027,0.05220811,0.005343367],"domain_scores_gemma":[0.7546681,0.01639829,0.006218519,0.00874451,0.2066483,0.007322219],"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":[0.00002753769,0.00004369381,0.001128301,0.000374916,0.0000183439,0.000197792,0.0008422531,0.0003728403,0.00178289,0.03578277,0.9142058,0.04522281],"study_design_scores_gemma":[0.000007152729,0.00002174494,0.002557832,0.0002258199,0.00001162749,0.00003631011,0.0002246167,0.0001490009,0.0005200065,0.001575976,0.9946302,0.0000397512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01221125,0.0124242,0.02765865,0.1682865,0.04239647,0.006926068,0.006447425,0.00327981,0.7203696],"genre_scores_gemma":[0.08552611,0.01001885,0.04973485,0.1129819,0.01483687,0.002879123,0.006061886,0.001056931,0.7169034],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.25002,"threshold_uncertainty_score":0.4971295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03157362804102437,"score_gpt":0.2934433199364638,"score_spread":0.2618696918954394,"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."}}