{"id":"W6959416647","doi":"10.1016/j.endend.2014.01.010","title":"10.1016/j.endend.2014.01.010","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003189096,0.00008837353,0.0001394148,0.00005719614,0.0003758229,0.00007217551,0.00026825,0.00008433805,0.9988834],"category_scores_gemma":[0.00002596334,0.00007555997,0.0001078008,0.0003361537,0.0001281962,0.0001524948,0.00002227729,0.00008255392,0.9943404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000442487,"about_ca_system_score_gemma":0.00006544768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006930081,"about_ca_topic_score_gemma":0.00002285267,"domain_scores_codex":[0.9989746,0.0001074502,0.0001248307,0.0001965012,0.0003120557,0.0002846041],"domain_scores_gemma":[0.9995108,0.00003431508,0.00002367924,0.0001839566,0.00003547521,0.0002118302],"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":[0.00002332162,0.00004544053,7.632504e-7,0.000001881759,0.00003665835,0.00000577719,0.0005050526,0.00005708028,0.0000231628,0.00004815386,0.510047,0.4892057],"study_design_scores_gemma":[0.00006837528,0.00002281772,0.00003564245,0.000003922131,0.00002781774,5.279934e-7,0.00001538005,0.00002319204,0.00002647918,0.00004977494,0.9995992,0.0001269109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008451524,0.00005755336,2.949388e-7,0.001492118,0.000002744463,0.00007903207,0.00000466449,0.0001245415,0.9973939],"genre_scores_gemma":[0.00178512,6.689892e-7,0.00002936367,0.00005585343,0.000395736,0.000005684615,0.000003578549,0.00000928876,0.9977147],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4895522,"threshold_uncertainty_score":0.3081246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005662582892898763,"score_gpt":0.2011551073085159,"score_spread":0.1954925244156171,"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."}}