{"id":"W626597486","doi":"10.1007/978-3-642-30615-0","title":"Sequences and their applications -- SETA 2012 : 7th International Conference, Waterloo, On, Canada, June 4-8 2012, proceedings","year":2012,"lang":"en","type":"book","venue":"DIAL (Catholic University of Leuven)","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; Seta; Operations research; Computer science; Biology; Engineering; Zoology","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":[0.0008687216,0.001025316,0.000981092,0.002420481,0.0009332577,0.003475335,0.001177684,0.0008876209,0.02962757],"category_scores_gemma":[0.00233984,0.0005655508,0.0007908971,0.004418989,0.0007073345,0.002273691,0.001453435,0.001132295,0.01137721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080295,"about_ca_system_score_gemma":0.001516454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01311979,"about_ca_topic_score_gemma":0.01819524,"domain_scores_codex":[0.9993433,0.00009871655,0.0000561486,0.00009914083,0.0003665889,0.00003612539],"domain_scores_gemma":[0.9990225,0.0002950887,0.0000348796,0.0001441462,0.0004357844,0.0000675699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001414873,0.00006330303,0.0006933729,0.000645028,0.00003482724,0.0001483098,0.000266906,0.01026469,0.004217748,0.06883482,0.1382459,0.7764436],"study_design_scores_gemma":[0.00001948301,0.0000630924,0.001376767,0.000534746,0.00003473401,0.000689142,0.0003144157,0.04998371,0.004843722,0.08718003,0.8549136,0.00004660228],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01108561,0.08034878,0.778066,0.003236321,0.006137187,0.0003467156,0.01166115,0.01007312,0.09904502],"genre_scores_gemma":[0.07817325,0.0749817,0.5869761,0.0008028196,0.001553643,0.0005284825,0.03430901,0.002711752,0.2199633],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9868802,"threshold_uncertainty_score":0.09911406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217086338405738,"score_gpt":0.1748825654047919,"score_spread":0.1627117020207346,"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."}}