{"id":"W6997009557","doi":"","title":"Toronto Student Wins Manning Innovation Achievement Award at 2014 Canada Wide Science Fair - Energy (ENERGY01) News","year":2014,"lang":"en","type":"other","venue":"","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Energy policy; Government (linguistics); Work (physics)","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":[0.001906685,0.001041831,0.000697565,0.00173485,0.006277682,0.01065118,0.001558609,0.008995527,0.3074096],"category_scores_gemma":[0.005838878,0.000704405,0.001121312,0.001210193,0.001820303,0.001895452,0.002747925,0.009076177,0.168588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01211967,"about_ca_system_score_gemma":0.03339583,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3875002,"about_ca_topic_score_gemma":0.7713512,"domain_scores_codex":[0.9969718,0.00008809142,0.00004030012,0.0001315491,0.002054184,0.0007139866],"domain_scores_gemma":[0.9935119,0.0002414212,0.00008612341,0.0001938512,0.002565171,0.003401563],"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":[0.000004365241,0.000004056252,0.00002650448,0.000003262929,4.717648e-7,0.000008100417,0.000003390697,0.000005998881,0.000008942638,0.0005466661,0.9971124,0.002275711],"study_design_scores_gemma":[0.000006956029,0.000003318562,0.000407363,0.00001769493,0.000001277641,0.000006688795,0.00003195983,0.0000263727,0.0000371155,0.0002512821,0.9992045,0.000005486878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007013305,0.002430244,0.0005284538,0.1371654,0.05786791,0.0001808442,0.005893128,0.001282993,0.7939497],"genre_scores_gemma":[0.001267919,0.0007222571,0.0001299921,0.008992535,0.002281722,0.00002408891,0.001056917,0.0001756139,0.985349],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6124998,"threshold_uncertainty_score":0.9878961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143558214293835,"score_gpt":0.3104706686535227,"score_spread":0.2961148472241392,"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."}}