{"id":"W7065850618","doi":"","title":"From Fall Detection to time series clustering","year":2019,"lang":"en","type":"article","venue":"Consultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educación, Cultura y Deporte)","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Series (stratigraphy); Time series; Pattern recognition (psychology); Field (mathematics); Fuzzy clustering","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":[],"consensus_categories":[],"category_scores_codex":[0.002479418,0.001652986,0.002709013,0.003426278,0.0008820036,0.002341682,0.002843599,0.002300755,0.003430008],"category_scores_gemma":[0.01432235,0.0008457869,0.001506609,0.005032006,0.001013962,0.002582825,0.002222286,0.003094193,0.001859722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360684,"about_ca_system_score_gemma":0.00119831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01285009,"about_ca_topic_score_gemma":0.007543742,"domain_scores_codex":[0.9981207,0.0004959086,0.0001137019,0.0006509337,0.0004739422,0.0001447478],"domain_scores_gemma":[0.994985,0.003206871,0.0002324307,0.0005842972,0.0007641384,0.0002272752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004766671,0.0002833401,0.003271002,0.0005108064,0.0002780735,0.0002331247,0.0002729469,0.1856699,0.002414226,0.02367263,0.05698372,0.7259335],"study_design_scores_gemma":[0.00002267557,0.00008359991,0.002002875,0.00008583221,0.00003361718,0.00015568,0.0001381546,0.8307887,0.001102004,0.1551121,0.01044106,0.00003375062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01161778,0.005519247,0.9711473,0.004297263,0.001045208,0.0001276688,0.001340011,0.002262754,0.002642772],"genre_scores_gemma":[0.3377489,0.007780922,0.6198561,0.001519176,0.003665073,0.0004875057,0.009529913,0.0009159092,0.01849639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01285009,"threshold_uncertainty_score":0.02555054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614614072153852,"score_gpt":0.2525216437776118,"score_spread":0.2363755030560733,"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."}}