{"id":"W2149464196","doi":"10.1111/j.1095-8649.2010.02666.x","title":"Is there a need for a ‘100 questions exercise’ to enhance fisheries and aquatic conservation, policy, management and research? Lessons from a global 100 questions exercise on conservation of biodiversity","year":2010,"lang":"en","type":"article","venue":"Journal of Fish Biology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Biology; Biodiversity; Fishery; Environmental resource management; Biodiversity conservation; Fisheries science; Fisheries management; Ecology; Fishing","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":[0.1244029,0.001903078,0.002414673,0.004539774,0.01285188,0.02908266,0.005496675,0.0214936,0.01790153],"category_scores_gemma":[0.110245,0.00127347,0.002921868,0.003231575,0.04837155,0.05472193,0.03041477,0.02458693,0.005597737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01240493,"about_ca_system_score_gemma":0.04221614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005613999,"about_ca_topic_score_gemma":0.0093648,"domain_scores_codex":[0.9213868,0.05530667,0.003334312,0.004042132,0.01053333,0.005396637],"domain_scores_gemma":[0.750042,0.1854037,0.007669401,0.0128306,0.02045322,0.02360103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001730915,0.0003457348,0.003082256,0.003611335,0.00008467005,0.0007995941,0.08761779,0.001084047,0.001742231,0.3409473,0.3078708,0.2526411],"study_design_scores_gemma":[0.00003291225,0.0001159684,0.001578683,0.003337362,0.00001673341,0.0003381661,0.04664132,0.0002686649,0.0002243788,0.1332876,0.814055,0.0001031182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004459522,0.009244346,0.01156324,0.9361518,0.007028597,0.0002056987,0.0000588502,0.0001756845,0.03111236],"genre_scores_gemma":[0.15252,0.02468245,0.07948457,0.683888,0.012654,0.00194389,0.0005056149,0.0008399523,0.04348163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1244029,"threshold_uncertainty_score":0.6579131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04093437690618337,"score_gpt":0.3477422676394866,"score_spread":0.3068078907333033,"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."}}