{"id":"W2954343012","doi":"","title":"The Tiputini Project","year":2018,"lang":"en","type":"article","venue":"MacEwan University Student Research Proceedings","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006064945,0.00009011298,0.00006869293,0.0003316393,0.000896205,0.00009137296,0.0006315322,0.00007962474,0.00001071774],"category_scores_gemma":[0.00006808754,0.00007802902,0.00002379917,0.001376483,0.0004082872,0.0001029843,0.0002274573,0.0005083792,0.00009909695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001677005,"about_ca_system_score_gemma":0.00002820136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001686412,"about_ca_topic_score_gemma":0.00002482103,"domain_scores_codex":[0.9989438,0.000007717746,0.00007911112,0.0001577971,0.0003505195,0.0004610581],"domain_scores_gemma":[0.9993098,0.00005630884,0.00001031062,0.0001375137,0.0004446552,0.00004137413],"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":[0.00005315733,0.0001184076,0.0224811,0.0001320159,0.000427894,0.00004099113,0.007512969,0.00003977608,0.0142085,0.4003459,0.5378389,0.01680036],"study_design_scores_gemma":[0.0002751594,0.0001618932,0.008405577,0.00002579258,0.00000675384,0.00000735782,0.008648565,0.001649535,0.003525998,0.0002579066,0.9768739,0.0001615778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8159313,0.00004493817,0.0002301628,0.0009330451,0.0001775187,0.0003760068,0.000003245792,0.001091395,0.1812124],"genre_scores_gemma":[0.9947159,0.0000922219,0.0002379859,0.000005646871,0.0001222314,0.00000444726,8.773732e-7,0.00001556604,0.004805097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.439035,"threshold_uncertainty_score":0.6892974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06805419875373232,"score_gpt":0.3482773619282851,"score_spread":0.2802231631745528,"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."}}