{"id":"W2892061638","doi":"10.1080/00288330.2018.1506487","title":"Using Māori knowledge to assist understandings and management of shellfish populations in Ōhiwa harbour, Aotearoa New Zealand","year":2018,"lang":"en","type":"article","venue":"New Zealand Journal of Marine and Freshwater Research","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Marine Environmental Observation Prediction and Response Network","keywords":"Aotearoa; Harbour; Mussel; Fishery; Action plan; Geography; Environmental resource management; Ecology; Political science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002443458,0.0001665527,0.0001760176,0.0009663735,0.002378839,0.001579799,0.000517562,0.0003518746,0.002369863],"category_scores_gemma":[0.003531836,0.0001876269,0.0001668686,0.0007969015,0.002271202,0.001183977,0.002481561,0.0006271181,0.0001262069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003862109,"about_ca_system_score_gemma":0.009301239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1963173,"about_ca_topic_score_gemma":0.3898138,"domain_scores_codex":[0.9994628,0.000238746,0.00003547005,0.00005450613,0.0001123108,0.00009615377],"domain_scores_gemma":[0.9987648,0.0005527647,0.0002525933,0.00006788965,0.0001865118,0.0001754445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005718425,0.00009942313,0.146046,0.0006190913,0.0000352009,0.001273887,0.7160293,0.0001677475,0.003880717,0.002806401,0.001121476,0.1278636],"study_design_scores_gemma":[0.00001589531,0.0002251143,0.2140961,0.0008507105,0.00006411879,0.0004446416,0.7499917,0.0006330169,0.0007684368,0.001858589,0.03101404,0.00003769727],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801862,0.0008326768,0.001115607,0.00284345,0.00001405085,0.00007375204,0.00004282496,0.000007429834,0.01488397],"genre_scores_gemma":[0.9960451,0.0007353198,0.001680835,0.0001147695,0.000004083374,0.00002555426,0.00001516974,0.000001552909,0.001377633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1963173,"threshold_uncertainty_score":0.3903493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2529092846609186,"score_gpt":0.4712420862357337,"score_spread":0.218332801574815,"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."}}