{"id":"W7050779989","doi":"","title":"Seven Down","year":2014,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Desk; Officer; Style (visual arts); Plot (graphics); Front (military)","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":["insufficient_payload"],"category_scores_codex":[0.00007724359,0.0001384805,0.0002129584,0.00006686126,0.0002310243,0.00001742945,0.0003825542,0.00008036086,0.004760095],"category_scores_gemma":[0.000007067167,0.0001286589,0.0002126565,0.0001102277,0.00004334719,0.0000821283,0.0000439933,0.0002347954,0.0009028594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001754517,"about_ca_system_score_gemma":0.00006794636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003806854,"about_ca_topic_score_gemma":0.0004161836,"domain_scores_codex":[0.9994376,0.0000374304,0.00009892004,0.0001552862,0.0001347907,0.000135986],"domain_scores_gemma":[0.9990848,0.0001678004,0.0002514885,0.000316008,0.0001339058,0.00004602836],"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":[0.00141362,0.001470472,0.008485608,0.000887456,0.003191365,0.00003821523,0.02092567,0.002617396,0.02629797,0.1392255,0.7313054,0.06414124],"study_design_scores_gemma":[0.002064111,0.0002673576,0.1468303,0.0004210588,0.001886175,0.00000282386,0.05899446,0.0009167649,0.002716525,0.01039978,0.774333,0.001167628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6952718,0.00002034103,0.001276851,0.0004507055,0.001082882,0.0002570679,0.0002231739,0.0000362106,0.301381],"genre_scores_gemma":[0.9315608,0.00001070253,0.0001271841,0.000009496085,0.0001891009,2.984426e-7,0.0006899259,0.0000128574,0.06739964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.236289,"threshold_uncertainty_score":0.9998751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008228882165317575,"score_gpt":0.2183774582577477,"score_spread":0.2101485760924301,"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."}}