{"id":"W7133579903","doi":"","title":"Branching Out, Winter 2010-2011","year":2010,"lang":"","type":"article","venue":"DigitalCommons (California Polytechnic State University)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Branching (polymer chemistry); Field (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007243262,0.001140392,0.001106747,0.00259785,0.0008337488,0.001569189,0.007129481,0.000523984,0.0008992624],"category_scores_gemma":[0.0001694982,0.001278915,0.0009959968,0.002424025,0.001076336,0.004441214,0.004470199,0.002348417,0.00732769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003292412,"about_ca_system_score_gemma":0.0005482272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003118642,"about_ca_topic_score_gemma":0.002280719,"domain_scores_codex":[0.9935464,0.0002232671,0.001084487,0.002112634,0.001051564,0.001981659],"domain_scores_gemma":[0.9927325,0.0003505827,0.0008141545,0.004557143,0.0003716235,0.001174042],"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":[0.0006441218,0.003988759,0.03916765,0.0002989906,0.003138566,0.00495546,0.002763142,0.0003447829,0.0165064,0.1435944,0.142731,0.6418667],"study_design_scores_gemma":[0.001755708,0.0002496168,0.002315497,0.0001580705,0.000355029,0.0001450899,0.0001865373,0.01410161,0.002596713,0.001940641,0.9739739,0.002221621],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04718995,0.0002509992,0.6799979,0.005592907,0.006177252,0.001411133,0.005804569,0.002251612,0.2513237],"genre_scores_gemma":[0.9617591,0.0001559279,0.005840787,0.0005019539,0.0002071974,0.000002862554,0.0002361358,0.0001158462,0.03118017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9145691,"threshold_uncertainty_score":0.9999532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01584888453296221,"score_gpt":0.2172909556304251,"score_spread":0.2014420710974629,"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."}}