{"id":"W7049807060","doi":"","title":"Blowout","year":2011,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poetry; Narrative; Style (visual arts); Set (abstract data type); Writing style","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":[],"category_scores_codex":[0.0002707736,0.0001752465,0.0002916954,0.000108388,0.0002279802,0.00001491371,0.0009928821,0.0002072738,0.00252257],"category_scores_gemma":[0.00001099066,0.0001599121,0.0001672746,0.0001509846,0.0001332915,0.0001213307,0.00006725475,0.0002484708,0.0003201204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004192684,"about_ca_system_score_gemma":0.0001187971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001656769,"about_ca_topic_score_gemma":0.001243828,"domain_scores_codex":[0.9990667,0.00007054067,0.0001183989,0.0002565723,0.0002359688,0.0002518267],"domain_scores_gemma":[0.9990353,0.00003073754,0.0002943197,0.000475477,0.0001161117,0.0000480341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001867929,0.00003277034,0.00001612217,0.00005192988,0.00001837298,0.000006192116,0.0017293,1.161827e-7,0.9865528,0.003503463,0.007567505,0.0003346133],"study_design_scores_gemma":[0.0003737437,0.0004047561,0.01360657,0.0001265625,0.0003870103,0.000006109369,0.004597476,0.00001062245,0.9562461,0.005293121,0.01843321,0.0005147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9294146,0.0005702834,0.0002015929,0.0001542959,0.00041193,0.0002942944,0.00002617818,0.0002327548,0.0686941],"genre_scores_gemma":[0.9470164,0.0003374046,0.001300253,0.00002985133,0.00006380885,4.278883e-7,0.00007894969,0.00002240103,0.0511505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0303067,"threshold_uncertainty_score":0.9983892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370957238337791,"score_gpt":0.2388311950321522,"score_spread":0.2251216226487743,"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."}}