{"id":"W4210906135","doi":"10.1063/1.4820018.3","title":"10.1063/1.4820018.3","year":2013,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atomic Energy (Canada); University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001038054,0.004247234,0.002935597,0.00381714,0.001465057,0.005151805,0.004989845,0.00302228,0.4804434],"category_scores_gemma":[0.004528662,0.00135326,0.001559265,0.008796686,0.0007418671,0.003469093,0.004334261,0.002537269,0.7562817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412219,"about_ca_system_score_gemma":0.001464888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01234482,"about_ca_topic_score_gemma":0.02141788,"domain_scores_codex":[0.9989819,0.0001306515,0.0001135666,0.0002733755,0.0002674995,0.0002330339],"domain_scores_gemma":[0.9981445,0.0002864176,0.0001024595,0.0007940975,0.0004397816,0.0002327311],"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":[0.00002365978,0.0000128805,0.0001418576,0.0002215411,0.000008333075,0.000005603992,0.000007427242,0.00008567021,0.00005342537,0.0001924588,0.9971129,0.002134261],"study_design_scores_gemma":[0.0001356005,0.00002168642,0.00132871,0.0001910682,0.0000139263,0.00004028071,0.00005441068,0.0003984713,0.000514265,0.001690538,0.9955816,0.00002957569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000684665,0.00007483053,0.0001476248,0.00009074326,0.00007117543,0.00001500525,0.9942902,0.002542109,0.002699799],"genre_scores_gemma":[0.0002620511,0.0000749176,0.0002489362,0.00004876357,0.00001477535,0.00005539693,0.9969976,0.0003159571,0.001981646],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5195565,"threshold_uncertainty_score":0.7410843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403814314742581,"score_gpt":0.2460538172609329,"score_spread":0.2320156741135072,"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."}}