{"id":"W4235124054","doi":"10.1002/0470028521.ch1","title":"Introduction","year":2006,"lang":"en","type":"other","venue":"","topic":"Gyrotron and Vacuum Electronics Research","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Waterloo","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004073187,0.0007218462,0.0004495624,0.001086044,0.001096271,0.002993678,0.001146023,0.001279069,0.4168314],"category_scores_gemma":[0.001409111,0.0002903518,0.0003870204,0.0009769365,0.0003734128,0.002293286,0.001764753,0.001375858,0.3066121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059977,"about_ca_system_score_gemma":0.001612489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002059073,"about_ca_topic_score_gemma":0.002853569,"domain_scores_codex":[0.9995543,0.00003240253,0.00001595285,0.00009046682,0.000261929,0.00004495232],"domain_scores_gemma":[0.9994884,0.00007010876,0.00002263679,0.00006136306,0.0002758723,0.00008166769],"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":[0.0000244288,0.00005169211,0.0001799146,0.0002622217,0.00000281263,0.00006190973,0.0001647777,0.0002423127,0.001218056,0.03380862,0.6944216,0.2695616],"study_design_scores_gemma":[0.000001036418,0.000005751247,0.0001076906,0.00006742687,0.000001100034,0.00003023686,0.00003221166,0.0000314761,0.0001567097,0.001945465,0.9976183,0.000002483858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008528936,0.007755167,0.01335807,0.005229556,0.00993881,0.0001944635,0.003049624,0.001544685,0.9580768],"genre_scores_gemma":[0.002156797,0.004753227,0.002896581,0.001173483,0.001386044,0.00008195474,0.002058969,0.0002616408,0.9852313],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5831686,"threshold_uncertainty_score":0.8318192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00629362447926517,"score_gpt":0.2677674020871982,"score_spread":0.2614737776079331,"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."}}