{"id":"W4396867921","doi":"10.1007/978-3-031-56716-2_21","title":"Key Lessons and Next Steps for the Implementation of the SSF Guidelines: Making Legislation and Policies Work for Small-Scale Fisheries","year":2024,"lang":"en","type":"book-chapter","venue":"MARE publication series","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Legislation; Work (physics); Cognitive reframing; Scale (ratio); Corporate governance; Fisheries management; Business; Process management; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06770153,0.001476363,0.001299814,0.003316632,0.006750951,0.021426,0.005129503,0.04047614,0.02205111],"category_scores_gemma":[0.09240437,0.0009963557,0.002268373,0.002896529,0.01326012,0.02053178,0.008202789,0.02225936,0.006842359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01165687,"about_ca_system_score_gemma":0.1126211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1114909,"about_ca_topic_score_gemma":0.146283,"domain_scores_codex":[0.9748346,0.01059549,0.001791808,0.001235529,0.007272271,0.004270225],"domain_scores_gemma":[0.9458225,0.02451477,0.00210387,0.003180538,0.01810482,0.006273507],"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":[0.00002778769,0.0002323874,0.0007200348,0.0003961278,0.00002047063,0.0002470647,0.00354301,0.001254288,0.0005027176,0.4189295,0.4599997,0.1141269],"study_design_scores_gemma":[0.00004272094,0.00008019586,0.001862488,0.002643016,0.0000282928,0.0001326387,0.005161746,0.0007583786,0.0005600525,0.2321448,0.7564432,0.0001425227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001763866,0.006128373,0.01047328,0.9007842,0.008347333,0.0002291918,0.0003480728,0.0004585881,0.07146709],"genre_scores_gemma":[0.08753242,0.02182939,0.2535147,0.4345442,0.006981929,0.001774863,0.001564531,0.001269011,0.1909891],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1114909,"threshold_uncertainty_score":0.3580441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08809665025060709,"score_gpt":0.3285528544316038,"score_spread":0.2404562041809967,"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."}}