{"id":"W4390725524","doi":"10.1002/sstr.202300507","title":"Small Adjustments","year":2024,"lang":"en","type":"article","venue":"Small Structures","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00165653,0.0001453534,0.0001522078,0.0003518886,0.0001583745,0.001629444,0.001192714,0.00004588061,0.001234768],"category_scores_gemma":[0.0007219932,0.00009419162,0.0001145201,0.0008552924,0.00007284625,0.00008790038,0.0005191973,0.0001291657,0.001137433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002940076,"about_ca_system_score_gemma":0.0000449527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006413207,"about_ca_topic_score_gemma":0.00009832261,"domain_scores_codex":[0.9975426,0.0000854113,0.0003836445,0.0008874657,0.0008023285,0.0002985101],"domain_scores_gemma":[0.9983412,0.0004229641,0.0000526211,0.0009983433,0.00007429987,0.0001105657],"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":[0.000008222158,0.00000933924,0.001025513,0.00001772244,0.00004071205,0.00007606318,0.0004449209,0.0005136247,0.0001753398,0.07609504,0.1490528,0.7725407],"study_design_scores_gemma":[0.0001327917,0.00003072104,0.03849164,0.00002478441,0.00002116862,0.00001607692,0.0003206065,0.007011413,0.0003700436,0.3544861,0.5988815,0.0002131435],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.864257,0.002878098,0.03498013,0.001672448,0.01789118,0.0003961156,0.0001047595,0.000726407,0.07709391],"genre_scores_gemma":[0.9834754,0.000005521758,0.004803967,0.0003569874,0.000314459,0.000004359861,0.00001675457,0.00001212091,0.01101043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7723276,"threshold_uncertainty_score":0.9996783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2221359172500697,"score_gpt":0.384275866940141,"score_spread":0.1621399496900713,"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."}}