{"id":"W4247867718","doi":"10.1515/iupac.68.0083","title":"Impact Parameter B","year":2016,"lang":"tt","type":"dataset","venue":"IUPAC Standards Online","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Field (mathematics); Computer science; Library science; Linguistics; Philosophy; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001958373,0.002705191,0.001718701,0.005238974,0.001181351,0.004341974,0.002764397,0.001859418,0.1248805],"category_scores_gemma":[0.01829048,0.0007376236,0.002897505,0.005534811,0.0006067071,0.003270487,0.001989516,0.003430237,0.1835884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571714,"about_ca_system_score_gemma":0.002692302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01327701,"about_ca_topic_score_gemma":0.02459217,"domain_scores_codex":[0.997465,0.0003876285,0.0003542886,0.0009557812,0.0005916869,0.0002455684],"domain_scores_gemma":[0.995006,0.00174253,0.0004005933,0.001407369,0.001203291,0.0002402658],"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":[0.0001202374,0.00003653065,0.001870285,0.0008919669,0.00008217736,0.00001864807,0.00001438392,0.0005105804,0.0001469529,0.0006789655,0.9871259,0.008503278],"study_design_scores_gemma":[0.0002974084,0.00005537492,0.007944866,0.0007193308,0.0001113014,0.0001375554,0.00008562578,0.00131783,0.0007371228,0.004765704,0.9837646,0.00006326511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002375785,0.0002543259,0.0003330208,0.0001164336,0.0001244334,0.00003798676,0.9961313,0.0009651538,0.001799776],"genre_scores_gemma":[0.0009521225,0.000153255,0.0006904955,0.0001029355,0.00003405717,0.0001653123,0.9962818,0.0002053979,0.001414728],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1248805,"threshold_uncertainty_score":0.4177667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407910859626862,"score_gpt":0.3869110785577326,"score_spread":0.372831969961464,"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."}}