{"id":"W2512825657","doi":"","title":"Lobos de mar","year":2016,"lang":"en","type":"article","venue":"National geographic/˜The œcomplete National geographic/˜The œNational geographic magazine","topic":"Galician and Iberian cultural studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.0102876,0.001143831,0.0008532197,0.002417575,0.006346992,0.0007729147,0.003101047,0.0006641654,0.003516854],"category_scores_gemma":[0.003431164,0.0007351564,0.00158785,0.00708726,0.005372894,0.001358111,0.0005370314,0.001113418,0.0008156975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006476626,"about_ca_system_score_gemma":0.001270043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001671088,"about_ca_topic_score_gemma":0.008187611,"domain_scores_codex":[0.9823084,0.001720566,0.001787331,0.001655476,0.01035461,0.002173622],"domain_scores_gemma":[0.983686,0.005152196,0.001073372,0.0005807528,0.008824514,0.0006831461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003280205,0.0007490686,0.1446657,0.00005722586,0.001825836,0.00001803863,0.001063808,0.000265522,0.001874731,0.7445371,0.09543105,0.00918391],"study_design_scores_gemma":[0.001258124,0.00009484726,0.4101578,0.0001000717,0.0001044386,0.00005789125,0.0002414818,0.000153413,0.00000574613,0.1124028,0.4746493,0.0007740922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09565038,0.01053664,0.002817676,0.4575098,0.005383684,0.009340466,0.007332833,0.002693699,0.4087348],"genre_scores_gemma":[0.9713936,0.004324183,0.0009243155,0.01139207,0.003637683,0.001015758,0.000336467,0.0001206642,0.006855286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8757432,"threshold_uncertainty_score":0.9999623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04357178729425538,"score_gpt":0.2994688225779691,"score_spread":0.2558970352837138,"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."}}