{"id":"W4243827833","doi":"10.1017/amp.2017.137","title":"Kevin Mead","year":2017,"lang":"en","type":"article","venue":"Proceedings of the ASIL Annual Meeting","topic":"International Maritime Law Issues","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Negotiation; Work (physics); Political science; Sociology; Foreign policy; Management; Law; Media studies; Engineering; Politics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003829925,0.0000851259,0.00009761514,0.000009251803,0.0004151384,0.00008338504,0.001185739,0.00003506154,0.00017708],"category_scores_gemma":[0.001002084,0.00006123187,0.00005996872,0.00003655118,0.0002597884,0.0005145578,0.001050642,0.00009487932,0.0001188995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004700552,"about_ca_system_score_gemma":0.000002567202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007778563,"about_ca_topic_score_gemma":0.00002071463,"domain_scores_codex":[0.9991167,0.00000331579,0.0001571351,0.0001713962,0.0003818962,0.0001695396],"domain_scores_gemma":[0.9994448,0.00002338852,0.0003065786,0.0001363704,0.00005723904,0.00003164309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002474366,0.00005576293,0.8959677,0.00003348418,0.00001977827,6.068569e-7,0.001580665,0.00001807062,0.07772868,0.007244749,0.009474519,0.007851277],"study_design_scores_gemma":[0.0002815617,0.00005523,0.7137483,0.0002812856,0.0000255196,0.00001359568,0.0006708401,0.0003505585,0.2442593,0.01265107,0.02739629,0.0002665355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6438624,0.000008034845,2.869911e-7,0.001361687,0.00009195383,0.00006001472,0.000002350648,0.0000138978,0.3545994],"genre_scores_gemma":[0.993503,0.000002360741,0.001389458,0.00008606394,0.00008642241,0.000005692821,1.077446e-7,0.0000100078,0.004916892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3496825,"threshold_uncertainty_score":0.3192951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008163701209367954,"score_gpt":0.2370236827171602,"score_spread":0.2288599815077922,"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."}}