{"id":"W7058620611","doi":"","title":"The Nightmare Before Christmas with Natalie McGill","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nightmare; Sign (mathematics); Comedy; Movie theater; Dream","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001120731,0.0003311977,0.0002831603,0.00004946265,0.0000929958,0.000038522,0.000401056,0.0003803791,0.2477364],"category_scores_gemma":[0.0000309284,0.0002354945,0.000081477,0.00000752455,0.0001914552,1.211561e-7,0.0000531545,0.0002397101,0.006110142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003703827,"about_ca_system_score_gemma":0.000009048633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001138364,"about_ca_topic_score_gemma":0.004612311,"domain_scores_codex":[0.9988248,0.00002511616,0.0003947096,0.000131651,0.0003351761,0.0002885194],"domain_scores_gemma":[0.9990453,0.00005762455,0.0001919601,0.0005276095,0.0001054004,0.00007207455],"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":[0.00001968738,0.000005211221,3.629392e-7,0.0003018814,0.00005768858,0.000009220129,0.00005305449,0.00004169776,1.229612e-7,0.00006549971,0.9972175,0.002228059],"study_design_scores_gemma":[0.0001647726,0.0001981923,0.000001980888,0.0001931849,0.00003037869,0.00005592731,0.00003704666,0.00005469127,0.00004952578,0.00001495533,0.99893,0.0002693939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002209281,0.0002405344,8.377659e-7,0.00007753677,0.0002075588,0.0004149564,0.0001141832,0.0007716784,0.9981506],"genre_scores_gemma":[0.0004180686,0.0002440751,0.001580662,0.00007333375,0.0001537141,0.00002399292,0.00007271716,0.000190465,0.997243],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2416263,"threshold_uncertainty_score":0.9946637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002938678897225365,"score_gpt":0.1583167931255265,"score_spread":0.1553781142283011,"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."}}