{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012117,0.0003813268,0.0003597208,0.0007704443,0.006525299,0.007083213,0.0007424014,0.003316873,0.3340186],"category_scores_gemma":[0.005195851,0.0004326663,0.0002177665,0.001046065,0.001190904,0.002549645,0.002512935,0.003402068,0.1277991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003080123,"about_ca_system_score_gemma":0.005099571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03099411,"about_ca_topic_score_gemma":0.1616211,"domain_scores_codex":[0.9990131,0.0001240687,0.00005795014,0.0001128946,0.0005201867,0.0001717057],"domain_scores_gemma":[0.9982055,0.0003433649,0.00008952071,0.0001020324,0.0006530014,0.0006065741],"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":[0.000008629845,0.00002098746,0.000374415,0.00002507548,0.000001265779,0.00006147017,0.0001214276,0.00001319131,0.00005040251,0.003623021,0.9766396,0.01906059],"study_design_scores_gemma":[0.000002343444,0.000004398066,0.000555718,0.00008062067,8.93604e-7,0.00002350679,0.0002284759,0.00001377012,0.00002947057,0.0003678854,0.9986897,0.000003169349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002648847,0.008620487,0.0003774371,0.06881728,0.007458916,0.0001401351,0.001071569,0.0004311372,0.9104342],"genre_scores_gemma":[0.004149567,0.00237213,0.0002032956,0.005721561,0.0005761636,0.00003228067,0.0002138353,0.00008084784,0.9866503],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3340186,"threshold_uncertainty_score":0.9499416,"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."}}