{"id":"W2298379010","doi":"10.4271/2004-01-2187","title":"Exploring Anthropometric Data through Cluster Analysis","year":2004,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Cluster (spacecraft); Computer science; Anthropometry; Geography; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001715689,0.0008650981,0.0006994655,0.007401017,0.0008830256,0.002614007,0.001170908,0.0005370785,0.005501573],"category_scores_gemma":[0.006035395,0.0003773565,0.001051047,0.006731959,0.0006249606,0.00160804,0.001919123,0.0008437583,0.002129038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007865165,"about_ca_system_score_gemma":0.001166656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008298258,"about_ca_topic_score_gemma":0.007421229,"domain_scores_codex":[0.9984201,0.0003745287,0.0000900287,0.0003855624,0.0006229999,0.0001068946],"domain_scores_gemma":[0.9971762,0.001481648,0.0002175147,0.0003128504,0.0007210582,0.00009075564],"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":[0.0003149782,0.0002921861,0.0271316,0.0004671143,0.0002755065,0.0004432612,0.002899506,0.07794747,0.015598,0.02368588,0.02353269,0.8274117],"study_design_scores_gemma":[0.00004650195,0.0001829145,0.04862209,0.000239696,0.0001561954,0.0004635961,0.005112581,0.8097357,0.01438073,0.06685277,0.05400487,0.0002023919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04143516,0.0003284781,0.9445322,0.0005714304,0.00007670998,0.0003138274,0.002208156,0.003843076,0.006690974],"genre_scores_gemma":[0.1853646,0.0005342481,0.8039569,0.00009946171,0.00008162614,0.000400281,0.004986228,0.0005070876,0.004069529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008298258,"threshold_uncertainty_score":0.0184046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08706087982339585,"score_gpt":0.311935916487564,"score_spread":0.2248750366641681,"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."}}