{"id":"W4406504341","doi":"10.1016/s0967-0653(97)87131-1","title":"10.1016/s0967-0653(97)87131-1","year":2000,"lang":"en","type":"review","venue":"Time to knit","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Crustacean; Estuary; Selection (genetic algorithm); Sampling (signal processing); Habitat; Focus (optics); Fishery; Ecology; Sampling design; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009400258,0.003153239,0.002642664,0.002042611,0.001650027,0.003392156,0.003816872,0.005624496,0.9723668],"category_scores_gemma":[0.001399581,0.0009322219,0.001336604,0.003225035,0.001672727,0.005531163,0.002957914,0.00287721,0.9856943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065723,"about_ca_system_score_gemma":0.001247793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0048872,"about_ca_topic_score_gemma":0.005197764,"domain_scores_codex":[0.9995131,0.00003237781,0.00003925955,0.0001719265,0.0001277,0.0001156709],"domain_scores_gemma":[0.9986153,0.0003763194,0.0001210465,0.0001290938,0.0003218936,0.0004363048],"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":[0.0002278064,0.0001212299,0.0003180964,0.001062276,0.00002774837,0.0001663158,0.00006712214,0.0003157092,0.001143375,0.003704333,0.3246798,0.6681662],"study_design_scores_gemma":[0.00004075194,0.00008627333,0.0003893544,0.0005690994,0.00001242558,0.0002993257,0.00006446002,0.00006888011,0.0001360009,0.000457817,0.9978606,0.00001500879],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004180278,0.003893707,0.0007331871,0.0006603419,0.0007523295,0.0001192216,0.0008951713,0.0007276039,0.9918004],"genre_scores_gemma":[0.000446839,0.001720516,0.0004238795,0.0004163826,0.0001323841,0.00008127584,0.0004432501,0.0001085552,0.9962268],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02763325,"threshold_uncertainty_score":0.03941548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0233436927267905,"score_gpt":0.2369719934973119,"score_spread":0.2136283007705214,"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."}}