{"id":"W4254116792","doi":"10.5151/chempro-s3ie-00","title":"Foreword","year":2014,"lang":"en","type":"article","venue":"","topic":"Science and Science Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Theme (computing); Political science; Library science; Business; Engineering; Management; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009892056,0.001082118,0.0008785755,0.001536882,0.002010737,0.004744824,0.001631815,0.003258061,0.7106644],"category_scores_gemma":[0.005062899,0.000337302,0.0007901264,0.001134859,0.0006059902,0.002869132,0.002936462,0.003530496,0.6204029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165712,"about_ca_system_score_gemma":0.002276035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002544597,"about_ca_topic_score_gemma":0.004258486,"domain_scores_codex":[0.998844,0.0001422611,0.00006476632,0.000232448,0.0005409853,0.0001755485],"domain_scores_gemma":[0.9982162,0.0002226521,0.00006408946,0.0001290992,0.0009438548,0.0004240438],"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":[0.00002792446,0.00001540949,0.0000470394,0.00008252988,0.000001408695,0.00004760737,0.0000362365,0.00001339883,0.00007625781,0.001453658,0.9661392,0.03205928],"study_design_scores_gemma":[0.000004298051,0.00001104229,0.0001267435,0.00007794096,8.084159e-7,0.00004418114,0.00005000486,0.000007755979,0.00003753647,0.0003966499,0.9992408,0.000002295096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001042981,0.00848172,0.001376093,0.03338022,0.1199304,0.0005743601,0.007217469,0.001731111,0.8262655],"genre_scores_gemma":[0.001910644,0.001679427,0.0002986033,0.006237477,0.005743956,0.0001371242,0.002672118,0.000402919,0.9809178],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2893356,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03366559271149046,"score_gpt":0.377804092947006,"score_spread":0.3441385002355155,"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."}}