{"id":"W3112177351","doi":"10.29117/quarfe.2020.0051","title":"Pearl Oyster: From National Icon To Guardian of Qatar's Marine Environment","year":2020,"lang":"en","type":"article","venue":"University of the Future: Re-Imagining Research and Higher Education","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Qatar National Research Fund; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Pearl; Guardian; Oyster; Icon; Geography; Fishery; Environmental planning; Environmental resource management; Computer science; Biology; Environmental science; Political science; Archaeology","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":[0.0005306562,0.0002708838,0.0001767905,0.000381597,0.00102507,0.0007744145,0.0002980164,0.0003762331,0.002155542],"category_scores_gemma":[0.000204231,0.0001349427,0.0002978616,0.0007691723,0.0003181433,0.0005148113,0.001001795,0.000575752,0.0004402263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144733,"about_ca_system_score_gemma":0.001639612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03135708,"about_ca_topic_score_gemma":0.05421825,"domain_scores_codex":[0.999782,0.00001605785,0.00001126078,0.00009560733,0.00005339874,0.00004171719],"domain_scores_gemma":[0.9998289,0.0000101195,0.00003917679,0.00001544018,0.00007619153,0.00003006775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001013667,0.0002809483,0.2202403,0.0006267197,0.0001160494,0.00164278,0.005677104,0.001564818,0.6270597,0.002245024,0.008649425,0.1308835],"study_design_scores_gemma":[0.00002768811,0.0006529868,0.9353762,0.00008987242,0.00007036121,0.0006566838,0.003506636,0.0006041726,0.02386592,0.0004146866,0.0347036,0.0000311675],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831176,0.001156069,0.003374423,0.0007802777,0.0000365566,0.0001487985,0.006022069,0.00009080079,0.005273378],"genre_scores_gemma":[0.9438493,0.001757115,0.009945916,0.00110515,0.00001947936,0.000287079,0.01851914,0.00006422683,0.0244526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03135708,"threshold_uncertainty_score":0.06234914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0285787814403417,"score_gpt":0.2640156616484781,"score_spread":0.2354368802081364,"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."}}