{"id":"W4205370038","doi":"10.1088/1755-1315/958/1/011001","title":"Preface","year":2021,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Water Resources and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Library science; Technical university; Political science; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001580219,0.0001444206,0.0001093008,0.00002006628,0.0003861777,0.0001825681,0.0002540581,0.00002860783,0.00544065],"category_scores_gemma":[0.00001113924,0.0001282031,0.00002490931,0.0001950405,0.001491732,0.0006918265,0.0009098675,0.00008010996,0.0003816011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004093235,"about_ca_system_score_gemma":0.00001567257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008864616,"about_ca_topic_score_gemma":0.0001282508,"domain_scores_codex":[0.9984497,0.00002183689,0.00013022,0.0005379826,0.0004404744,0.0004197968],"domain_scores_gemma":[0.999421,0.000006092197,0.0000374892,0.0002849851,0.000002640507,0.0002477786],"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":[0.00002419161,0.000119603,0.01881989,0.00001236889,0.000008525436,0.00008722462,0.001656132,0.0003207072,0.8905878,0.001635211,0.0003165929,0.08641177],"study_design_scores_gemma":[0.0002951196,0.0001370559,0.3488422,0.00001228856,0.00001150521,0.000106306,0.001993925,0.0004384761,0.3919273,0.0004950551,0.2553406,0.000400196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591392,0.00006835497,0.00006526737,0.0004965652,0.00007842539,0.0001017495,0.000008018074,0.00002796103,0.04001447],"genre_scores_gemma":[0.9872763,0.0002585044,0.001203858,0.0003175373,0.00001419538,0.000007826635,0.000006903963,0.000006166814,0.01090873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4986604,"threshold_uncertainty_score":0.9954685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012193070814782,"score_gpt":0.1826822636862202,"score_spread":0.1725603329780724,"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."}}