{"id":"W7050336696","doi":"","title":"Keith MacMaster","year":2019,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Seabed; Sustainable development; Liability; Shareholder; Compensation (psychology); Superfund","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001015958,0.0007630247,0.0004760855,0.001281186,0.003570505,0.005704768,0.001309513,0.002988299,0.3326218],"category_scores_gemma":[0.006203923,0.0004259946,0.0003502607,0.0009507753,0.001453947,0.004907333,0.003211428,0.004174153,0.1663873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003470442,"about_ca_system_score_gemma":0.005045108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008065123,"about_ca_topic_score_gemma":0.01906178,"domain_scores_codex":[0.9980074,0.0001787924,0.00007250188,0.0005110084,0.001002403,0.0002279947],"domain_scores_gemma":[0.9968511,0.0004412431,0.0001377186,0.0002040145,0.001290062,0.001075841],"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":[0.000007100622,0.000009856791,0.00008062163,0.00003684803,0.000001105906,0.00004652931,0.0001091053,0.00002006479,0.00008071902,0.007971357,0.9591128,0.03252384],"study_design_scores_gemma":[8.110619e-7,0.000002604995,0.00007544997,0.00003591237,4.242321e-7,0.00005538013,0.00008430726,0.00001561292,0.00003779476,0.0008255579,0.9988638,0.000002323418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001021586,0.02415068,0.002512448,0.1391937,0.02212176,0.00007399179,0.000685878,0.00090076,0.8093393],"genre_scores_gemma":[0.003605373,0.004972047,0.0004947996,0.01048285,0.0009386531,0.00002341916,0.0001384579,0.0001730092,0.9791715],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3326218,"threshold_uncertainty_score":0.951934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008886121115883841,"score_gpt":0.2370041745344235,"score_spread":0.2281180534185396,"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."}}