{"id":"W6929155856","doi":"10.4224/8895469","title":"Preliminary software implementation of cone in ice model","year":2006,"lang":"en","type":"report","venue":"NPARC","topic":"Hemispheric Asymmetry in Neuroscience","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"MATLAB; Software; Graphical user interface; Cone (formal languages); Field (mathematics); Interface (matter); Software development","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004773285,0.0002901708,0.0004613821,0.0001791046,0.00006052738,0.00002479429,0.0006306045,0.0002133928,0.0001906646],"category_scores_gemma":[0.001526261,0.0003084204,0.000099005,0.0008217558,0.0002302837,0.0001924414,0.0002389782,0.0004366203,0.00001088359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002931353,"about_ca_system_score_gemma":0.001471041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000253197,"about_ca_topic_score_gemma":0.00003184575,"domain_scores_codex":[0.9962305,0.0001092829,0.0008233694,0.0008440613,0.001533805,0.0004589582],"domain_scores_gemma":[0.9982517,0.0003476784,0.0006180714,0.0005635696,0.0001430715,0.00007590618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004627653,0.000343284,0.003637358,0.0007944693,0.000003636984,0.0002204126,0.0002515159,0.004520401,0.8899527,0.0001833494,0.05344125,0.04660536],"study_design_scores_gemma":[0.001052115,0.0004456654,0.00735208,0.0003804795,0.00006292245,0.0002192039,0.0001167271,0.02093077,0.9520108,0.002764665,0.01358406,0.001080584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4754372,0.0002025036,0.02004368,0.0003803531,0.002554655,0.002945753,0.001395202,0.0004307145,0.49661],"genre_scores_gemma":[0.9882457,0.0003127032,0.005287834,0.0002411233,0.00009884123,0.00009792381,0.00002858028,0.00006985437,0.005617465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5128085,"threshold_uncertainty_score":0.9999368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05662130202287653,"score_gpt":0.3460151081579641,"score_spread":0.2893938061350876,"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."}}