{"id":"W7052106995","doi":"","title":"Recursos genéticos marinhos : contributos para o aprofundamento do seu estudo no quadro do direito internacional do mar","year":2020,"lang":"pt","type":"dissertation","venue":"Repositório da Universidade de Lisboa (University of Lisbon)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Organisation de Coopération et de Développement Économiques; University of Oxford; Bundesamt für Naturschutz; University of Cambridge; International Development Research Centre","keywords":"Limiting; Context (archaeology); Work (physics); Scope (computer science)","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":[0.004404776,0.0004989117,0.0006020201,0.002601564,0.005172324,0.008176088,0.001809961,0.001635722,0.007660794],"category_scores_gemma":[0.006384674,0.0003468842,0.0006364417,0.004101058,0.006415738,0.004294953,0.003835951,0.002455065,0.0008363142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00771016,"about_ca_system_score_gemma":0.01038749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03577874,"about_ca_topic_score_gemma":0.08521536,"domain_scores_codex":[0.9973629,0.0009495284,0.0001216116,0.0006436907,0.000687422,0.0002347589],"domain_scores_gemma":[0.9957237,0.001752866,0.0006565348,0.0004275606,0.001086485,0.000352877],"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":[0.0001965897,0.0001058213,0.0698598,0.002641896,0.0001460441,0.002687111,0.1789009,0.002695786,0.008467536,0.4594054,0.01127912,0.263614],"study_design_scores_gemma":[0.00001152204,0.0002169919,0.07873403,0.002806059,0.0001340605,0.001265618,0.1561157,0.001385896,0.003078742,0.09293381,0.6631901,0.0001274511],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4477519,0.05590557,0.05389078,0.05366628,0.002729631,0.0003841535,0.00117019,0.0002166175,0.3842849],"genre_scores_gemma":[0.8662761,0.03047631,0.02607267,0.001955064,0.0005983007,0.0002261173,0.0003733039,0.0002218366,0.07380024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03577874,"threshold_uncertainty_score":0.07114094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108393722338926,"score_gpt":0.2165785809798113,"score_spread":0.2054946437564221,"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."}}