{"id":"W4406432107","doi":"10.1016/0967-0653(93)92865-h","title":"10.1016/0967-0653(93)92865-h","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Geography; Population; Biology; Fishery; Demography; Business; Sociology","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":[0.001027185,0.002544675,0.001673087,0.002371066,0.002878224,0.003212183,0.003063804,0.005583191,0.9905157],"category_scores_gemma":[0.001549888,0.001064898,0.001313902,0.002069201,0.002007744,0.004611174,0.003235959,0.002259342,0.9924889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012548,"about_ca_system_score_gemma":0.000851334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006148171,"about_ca_topic_score_gemma":0.00516968,"domain_scores_codex":[0.9994885,0.00003406833,0.00004033956,0.0001816561,0.0001266955,0.0001287557],"domain_scores_gemma":[0.9981177,0.0004170921,0.0001040965,0.0001954417,0.0004074088,0.0007583298],"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":[0.0003972367,0.0002692218,0.001088934,0.000574453,0.0000377089,0.0002873231,0.0001334333,0.0003996117,0.002118132,0.003751802,0.4364207,0.5545214],"study_design_scores_gemma":[0.00005953885,0.0001493942,0.001102263,0.0003564014,0.00001572502,0.0003465195,0.000167169,0.0001604893,0.0003263678,0.0005360318,0.9967565,0.00002354436],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004858359,0.0002953675,0.0005061259,0.000414619,0.0002823654,0.0001169951,0.0007099208,0.0007828721,0.9964059],"genre_scores_gemma":[0.0005997228,0.0001539655,0.000245092,0.000223874,0.00006377353,0.00004781061,0.0003066795,0.0001214545,0.9982375],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009484291,"threshold_uncertainty_score":0.01352811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006570874146366648,"score_gpt":0.1773484202455968,"score_spread":0.1707775460992301,"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."}}