{"id":"W6983801351","doi":"","title":"The Nova Southeastern Lawyer, Winter 2001, Volume 12, Number 1","year":2001,"lang":"en","type":"article","venue":"NSUWorks (Nova Southeastern University)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Nova (rocket); Nova scotia; Field (mathematics)","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005011954,0.0004526249,0.0003740846,0.0003440256,0.0007478221,0.000366482,0.004811432,0.0003260796,0.0002200585],"category_scores_gemma":[0.00006609136,0.0004073838,0.0002670535,0.001109005,0.0005429689,0.0005930414,0.001612756,0.0007480706,0.003906466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001454099,"about_ca_system_score_gemma":0.0001315698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001044508,"about_ca_topic_score_gemma":0.0004910085,"domain_scores_codex":[0.996847,0.0001957972,0.0003841905,0.0008955606,0.000578386,0.001099016],"domain_scores_gemma":[0.9970517,0.0001770192,0.0002917588,0.002035999,0.0002171707,0.0002263546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008060218,0.0009903593,0.4750967,0.00008134916,0.0008624775,0.003311569,0.01488128,0.00159522,0.0002790855,0.09294174,0.06754387,0.3416103],"study_design_scores_gemma":[0.00137671,0.0001360425,0.004474745,0.000157153,0.00004858718,0.0002911354,0.002258164,0.01929372,0.00002548772,0.001719451,0.969227,0.0009917985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1293174,0.0002095294,0.720284,0.008738723,0.003970611,0.0005448321,0.00001418021,0.003057588,0.1338632],"genre_scores_gemma":[0.8700355,0.00001836227,0.007436306,0.0002596135,0.0002102376,9.583662e-7,0.000002593613,0.00005062625,0.1219858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9016832,"threshold_uncertainty_score":0.9998378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02903632927015237,"score_gpt":0.2230550837175034,"score_spread":0.194018754447351,"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."}}