{"id":"W4406439092","doi":"10.1016/0967-0653(94)91500-8","title":"10.1016/0967-0653(94)91500-8","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Arctic; Fishery; The arctic; Environmental science; Vulnerability (computing); Predation; Oceanography; Biology; Ecology; Geology; Computer science","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":[0.00008162802,0.00008094094,0.00008871178,0.00001281147,0.0002052974,0.000008690801,0.0001798939,0.00004923546,0.9994897],"category_scores_gemma":[0.00001157541,0.00007352376,0.00003366298,0.0001081974,0.0001195996,0.00007485395,0.0001462643,0.00006193561,0.9995953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004748111,"about_ca_system_score_gemma":0.00000189054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005158159,"about_ca_topic_score_gemma":0.000004924708,"domain_scores_codex":[0.9994214,0.00002093495,0.00006574522,0.0001863786,0.00009982365,0.0002057879],"domain_scores_gemma":[0.9997635,0.0000236805,0.00001215793,0.0001257078,0.000002687566,0.00007221222],"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":[0.0000298646,0.00004296556,0.00009642544,7.744681e-7,0.00001113815,0.000007123808,0.00004227715,0.00005826422,0.00001381391,1.266533e-7,0.7723266,0.2273706],"study_design_scores_gemma":[0.0001063375,0.00009499592,0.005518631,0.00000143387,0.00001096381,0.000002493619,0.000002851046,0.00001200562,0.0000399073,0.000006336699,0.9940982,0.0001058754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00797469,0.00001343568,8.293195e-8,0.0006321495,0.000001391368,0.00008663546,0.000009552288,0.00005179456,0.9912302],"genre_scores_gemma":[0.0006500744,3.742184e-7,0.00008067903,0.0001590326,0.00002396883,0.000003716368,0.000004102612,0.000003167462,0.9990749],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2272647,"threshold_uncertainty_score":0.2998212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005701823225747301,"score_gpt":0.1488279654959674,"score_spread":0.1431261422702201,"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."}}