{"id":"W6958772817","doi":"10.7916/d8-yb5b-yw66","title":"Emma Gendron","year":2015,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Movie theater; Nothing; Biography; Scripting language; Public figure","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005567754,0.0004596887,0.0002855188,0.0006296316,0.005139821,0.00206755,0.0005975697,0.001481107,0.06628706],"category_scores_gemma":[0.00203035,0.0001937085,0.000143672,0.0002415783,0.001319734,0.0009486999,0.001060404,0.002204928,0.01676238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007701884,"about_ca_system_score_gemma":0.005535065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2244364,"about_ca_topic_score_gemma":0.4336421,"domain_scores_codex":[0.9994494,0.00006335811,0.000008610497,0.0001408593,0.0002337824,0.0001039782],"domain_scores_gemma":[0.9989576,0.00006926627,0.00003335126,0.00003337235,0.0005324483,0.0003739646],"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":[0.00002846037,0.0000127871,0.0005499083,0.00005946264,0.000003238144,0.0004565768,0.0008659064,0.00005294545,0.0006750336,0.006908603,0.9600424,0.03034471],"study_design_scores_gemma":[0.000001748002,0.000003966575,0.000467552,0.00004804069,0.000001162241,0.0003824814,0.0004373713,0.00002623558,0.0001292681,0.0002042412,0.9982937,0.000004231717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01249705,0.06999636,0.001503644,0.2188932,0.03988795,0.0000933717,0.0007182845,0.0006962443,0.655714],"genre_scores_gemma":[0.05004472,0.008944749,0.0004866885,0.02823076,0.001550326,0.00002509119,0.00009304976,0.00012889,0.9104957],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.933713,"threshold_uncertainty_score":0.4462602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03021499133176245,"score_gpt":0.1984699808206553,"score_spread":0.1682549894888928,"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."}}