{"id":"W6906308711","doi":"10.17605/osf.io/93uf5","title":"Analysis output","year":2018,"lang":"en","type":"article","venue":"Open Science Framework","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Production (economics); Control theory (sociology); Component (thermodynamics); Work (physics); Term (time)","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":[0.004613645,0.004140685,0.001593926,0.004888045,0.00138621,0.005760642,0.001542816,0.001005946,0.1382956],"category_scores_gemma":[0.03216012,0.001075117,0.002243041,0.003699703,0.0007887295,0.002618296,0.002788787,0.001589329,0.1213914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522868,"about_ca_system_score_gemma":0.004174455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00292361,"about_ca_topic_score_gemma":0.001335872,"domain_scores_codex":[0.9940822,0.001518325,0.0006586243,0.001604344,0.001805919,0.0003306248],"domain_scores_gemma":[0.9750516,0.01107388,0.0009545318,0.004953932,0.007470285,0.0004957286],"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":[0.002153639,0.0002015616,0.005396841,0.00167017,0.0002828422,0.0004889082,0.001092643,0.005109027,0.009817328,0.01088197,0.7618657,0.2010393],"study_design_scores_gemma":[0.0007444259,0.0002073862,0.008471839,0.0006821913,0.0005175307,0.0005305154,0.0007164176,0.06299107,0.06755827,0.05817772,0.7991002,0.0003024805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.01067812,0.0002125867,0.3296502,0.001548034,0.0006347333,0.001219715,0.2155547,0.3897993,0.05070268],"genre_scores_gemma":[0.1078778,0.0004840217,0.3417842,0.00136906,0.0004699688,0.004328289,0.3184497,0.1523181,0.07291894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1382956,"threshold_uncertainty_score":0.4626448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2080212053890317,"score_gpt":0.4872225096539572,"score_spread":0.2792013042649255,"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."}}