{"id":"W2991513022","doi":"10.2139/ssrn.3469191","title":"Research Foundation Review 2018","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Statistical Modeling Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Domtar (Canada); Occupational Cancer Research Centre","funders":"","keywords":"Foundation (evidence); Library science; Engineering ethics; Engineering; Political science; Computer science; Law","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":[0.005176308,0.00008627926,0.0001435922,0.0001169815,0.0001598615,0.00009119034,0.0009678918,0.00003828514,0.00003751048],"category_scores_gemma":[0.000216094,0.00007360816,0.00004739065,0.0004104822,0.00003328707,0.000565102,0.0001593623,0.002004605,0.000632551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008823188,"about_ca_system_score_gemma":0.001258479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001106368,"about_ca_topic_score_gemma":0.00001724521,"domain_scores_codex":[0.997035,0.0002107155,0.0002478411,0.0002552804,0.0005571303,0.001694021],"domain_scores_gemma":[0.9989686,0.0001466238,0.00008279802,0.000444792,0.0002894579,0.00006773665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002222881,0.00001178589,0.0000134477,0.00002069602,0.000006896111,0.00000104031,0.000007668429,0.000007696515,0.00009250319,0.8739296,0.0007301037,0.1251763],"study_design_scores_gemma":[0.00009536853,0.0002891694,0.00001506154,0.0002305918,0.000002625181,0.000160663,0.00001283051,0.004805548,0.00004791023,0.9842942,0.009951483,0.00009453767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002643866,0.007502627,0.9866756,0.0030473,0.0001389633,0.0002087961,1.794948e-7,0.0001040605,0.002058069],"genre_scores_gemma":[0.5215187,0.1717011,0.2995625,0.001430408,0.0003254622,0.00003493832,0.000004585889,0.00004667826,0.005375564],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6871131,"threshold_uncertainty_score":0.8709124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03881099053647701,"score_gpt":0.387690038243492,"score_spread":0.3488790477070149,"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."}}