{"id":"W7056505272","doi":"","title":"29<sup xmlns:m=\"http://www.w3.org/1998/Math/MathML\" xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">e</sup> Congrès du CIÉF: Winnipeg, Manitoba, Canada","year":2015,"lang":"es","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Identification (biology); Context (archaeology)","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":[0.00216776,0.001292539,0.0007436224,0.001870184,0.001215617,0.004835101,0.002139062,0.002122993,0.330836],"category_scores_gemma":[0.004178365,0.0009295431,0.0007260767,0.001895466,0.0009343103,0.002478569,0.001399802,0.00206008,0.3023222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003127562,"about_ca_system_score_gemma":0.003637391,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07723693,"about_ca_topic_score_gemma":0.08341038,"domain_scores_codex":[0.9987752,0.0001926842,0.0001148015,0.0001398565,0.0006526758,0.0001247835],"domain_scores_gemma":[0.9971195,0.0005400525,0.00008485596,0.0003856329,0.001645777,0.0002241339],"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":[0.0001049197,0.00004781306,0.0002951916,0.0002566206,0.000009975257,0.00009522375,0.0001495879,0.0004839914,0.004871498,0.01924351,0.9105747,0.06386705],"study_design_scores_gemma":[0.00001064482,0.00000972652,0.0003623232,0.00005115088,0.00000342092,0.00006413024,0.00004292344,0.0006060587,0.001976374,0.00145637,0.9954033,0.00001358011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002144034,0.00111704,0.1738748,0.005362281,0.002595838,0.0008014704,0.07729237,0.04886833,0.6879438],"genre_scores_gemma":[0.01316527,0.002273852,0.08753402,0.002157087,0.0005753558,0.0004694979,0.1235607,0.03065649,0.7396077],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.922763,"threshold_uncertainty_score":0.9544812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02603026161493635,"score_gpt":0.2204477639245812,"score_spread":0.1944175023096449,"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."}}