{"id":"W2895371193","doi":"10.15273/pnsis.v48i2.6666","title":"NSIS 48:2 Council Reports","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Nova Scotian Institute of Science","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004077943,0.001056382,0.001386634,0.005865789,0.002999654,0.009108733,0.002846299,0.00362304,0.723074],"category_scores_gemma":[0.02799592,0.001186774,0.001154115,0.006475866,0.0008591973,0.002920989,0.002441369,0.003338273,0.6928625],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008795432,"about_ca_system_score_gemma":0.0216895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1409338,"about_ca_topic_score_gemma":0.1908517,"domain_scores_codex":[0.9944156,0.00042321,0.0003622428,0.000343019,0.003651415,0.0008045242],"domain_scores_gemma":[0.964435,0.002887943,0.0008407904,0.004583401,0.02441679,0.002835975],"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":[0.00005065892,0.00002396927,0.0001125235,0.00006076884,0.000002723257,0.00001382193,0.00001721726,0.0000563101,0.0001040907,0.001286763,0.9902261,0.008045131],"study_design_scores_gemma":[0.00004153568,0.00001770606,0.001462024,0.0001181267,0.000004154544,0.00001151613,0.00004618371,0.0001613068,0.0002296148,0.0007170191,0.9971774,0.00001339299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009424551,0.0005384337,0.0009455796,0.006260539,0.007777199,0.0006867301,0.07888071,0.00295438,0.901014],"genre_scores_gemma":[0.002025957,0.0002980011,0.0004249588,0.0006411441,0.0003857167,0.0002292027,0.01831544,0.000864536,0.9768151],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9912046,"threshold_uncertainty_score":0.3950014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07508462357583011,"score_gpt":0.2142547596208172,"score_spread":0.1391701360449871,"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."}}