{"id":"W4406463713","doi":"10.1016/0960-4634(91)90063-l","title":"10.1016/0960-4634(91)90063-l","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Facultative; Biology; Ecology","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":[0.00003498275,0.0001194442,0.0001056468,0.00004876846,0.00004317725,0.00002390259,0.0001016115,0.00005127738,0.9731595],"category_scores_gemma":[0.00001637332,0.0001264255,0.00002595059,0.00008919316,0.00001268679,0.00006772311,0.00001133176,0.00008687171,0.965235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003654496,"about_ca_system_score_gemma":0.000003898115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003432626,"about_ca_topic_score_gemma":6.897396e-8,"domain_scores_codex":[0.9994673,0.000006527473,0.0001157995,0.0001264674,0.00008101244,0.0002029096],"domain_scores_gemma":[0.9996771,0.00002361612,0.00000824889,0.0001913165,0.00001482542,0.00008488673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007039917,0.000005976406,6.408075e-9,0.000006071998,0.000005986844,0.000001634154,0.000007144827,0.6894421,0.00001085987,0.000001302066,0.0415545,0.2689573],"study_design_scores_gemma":[0.0001051018,0.00002665666,0.000004855483,0.000008112335,0.000007578889,0.000002359585,3.431436e-7,0.03175394,0.0004754433,0.00003846758,0.9674146,0.000162531],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000468636,0.00004877841,0.003346412,0.00002391184,0.000003429156,0.00008918729,0.00001049415,0.0006051495,0.9958258],"genre_scores_gemma":[0.0008708725,0.000001332369,0.003747822,0.00001014671,0.0001026329,0.00001170357,0.00002705771,0.0000377317,0.9951907],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9258601,"threshold_uncertainty_score":0.5155482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003463155966083478,"score_gpt":0.1476583081180964,"score_spread":0.1441951521520129,"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."}}