{"id":"W4255810168","doi":"10.1063/1.4973870","title":"New Products","year":2017,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001934715,0.0001684231,0.0003955311,0.0001121923,0.0006516768,0.0003188634,0.001462628,0.00002979673,0.0007536097],"category_scores_gemma":[0.001128938,0.0001404737,0.0001131602,0.0003600905,0.0004339756,0.0007628532,0.0003522017,0.00008989319,0.007588976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000661384,"about_ca_system_score_gemma":0.0003786667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003849161,"about_ca_topic_score_gemma":0.000003942313,"domain_scores_codex":[0.9976122,0.00005120166,0.0005100369,0.0005609478,0.0009161659,0.000349383],"domain_scores_gemma":[0.9959779,0.000004611592,0.0008951449,0.002623684,0.000334893,0.0001636988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000572052,0.000086541,0.003908752,0.007066014,0.00003700976,0.000002067852,0.00003924338,1.575216e-8,0.02175501,0.001238619,0.2034008,0.7624602],"study_design_scores_gemma":[0.0006178525,0.00003222816,0.01457157,0.02419636,0.0001043809,0.00001425646,0.000004751024,0.00001163039,0.08141223,0.0004422515,0.8782929,0.0002995825],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8736619,0.02021595,0.000004435303,0.002335195,0.008723566,0.002619095,0.0001475919,0.0001392815,0.09215298],"genre_scores_gemma":[0.9517447,0.006041922,0.007798105,0.0001539786,0.000206397,0.00002059172,0.0000717547,0.00006963346,0.03389292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7621606,"threshold_uncertainty_score":0.9931837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04960747732579728,"score_gpt":0.3245841626382028,"score_spread":0.2749766853124055,"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."}}