{"id":"W4200570595","doi":"10.5750/ijme.v152ia3.832","title":"NAVAL SHIP STABILITY GUIDELINES: DEVELOPING A SHARED VISION FOR NAVAL STABILITY ASSESSMENT","year":2021,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Maritime Security and History","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Crew; Software deployment; Aeronautics; Context (archaeology); Procurement; Operations research; Stability (learning theory); Computer science; Engineering; Law; Computer security; Political science; Business; History; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.004247201,0.0001177762,0.0002170514,0.00007916194,0.0002460484,0.0002311273,0.0006753637,0.00008106172,0.0008523426],"category_scores_gemma":[0.003091233,0.0001072425,0.0002178031,0.0001216665,0.00008664408,0.0005468255,0.0001368458,0.0003307932,0.000002647413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009160981,"about_ca_system_score_gemma":0.001267418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000229606,"about_ca_topic_score_gemma":0.0006324329,"domain_scores_codex":[0.997829,0.0001559005,0.0006576168,0.0001639437,0.0009603305,0.0002331874],"domain_scores_gemma":[0.9965017,0.0008362541,0.0002051662,0.0001443353,0.002213249,0.00009928721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001760961,0.001933157,0.008885477,0.001029894,0.002919568,0.0006985088,0.05994719,0.008111238,0.06915528,0.7024957,0.05387949,0.08918353],"study_design_scores_gemma":[0.002287274,0.0001623312,0.01247125,0.0008534324,0.0001170695,0.0001391283,0.006303737,0.01896681,0.003616079,0.01283185,0.9415628,0.0006881883],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4800444,0.004239867,0.3322839,0.148247,0.01645669,0.001274421,0.0003343225,0.0002602536,0.01685922],"genre_scores_gemma":[0.9435224,0.0001696399,0.05350825,0.0005955613,0.001938374,0.0000134489,0.0000236437,0.0000223981,0.0002062783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8876833,"threshold_uncertainty_score":0.9332554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06844721246481657,"score_gpt":0.3639088213612588,"score_spread":0.2954616088964423,"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."}}