{"id":"W7022465014","doi":"","title":"Research Grant","year":2013,"lang":"en","type":"other","venue":"OpenEdition (OpenEdition)","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Closing (real estate); Carry (investment)","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":["insufficient_payload"],"category_scores_codex":[0.006501423,0.0009791394,0.001289188,0.002206334,0.002813135,0.003870955,0.003399282,0.002612653,0.6380088],"category_scores_gemma":[0.0204932,0.0004099497,0.0006894351,0.001941591,0.0008830581,0.001705109,0.005291542,0.002949526,0.3841847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004246109,"about_ca_system_score_gemma":0.02074633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0284235,"about_ca_topic_score_gemma":0.05540205,"domain_scores_codex":[0.9920048,0.001138378,0.0002876473,0.001149956,0.004198794,0.001220469],"domain_scores_gemma":[0.974146,0.00141931,0.0004256822,0.00174438,0.01364595,0.008618614],"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":[0.0003098679,0.0001323776,0.0005927312,0.0001406154,0.0000140236,0.0001395909,0.0001099129,0.00005423805,0.0007075179,0.00549488,0.9315813,0.06072297],"study_design_scores_gemma":[0.00008783482,0.00008823832,0.0009308761,0.0001346112,0.00001250245,0.0002558638,0.0001630029,0.00008654517,0.0003011433,0.0008102588,0.9971204,0.000008756304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003529433,0.00366506,0.004576759,0.05527056,0.02078149,0.002376321,0.04999401,0.002707045,0.8570994],"genre_scores_gemma":[0.0167841,0.00244058,0.004978975,0.01137533,0.00159896,0.0009963602,0.03321394,0.001064374,0.9275474],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3619912,"threshold_uncertainty_score":0.5163364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06354586617181678,"score_gpt":0.3104606443534109,"score_spread":0.2469147781815941,"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."}}