{"id":"W1644420793","doi":"","title":"Empresas Multinacionales y Espacios Geograficos. El caso de la Noranda Mines","year":2011,"lang":"es","type":"article","venue":"Americanae (AECID Library)","topic":"Regional Development and Innovation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Humanities; Political science; Geography; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000358146,0.0003698511,0.0004016775,0.0003231716,0.000496302,0.0001475204,0.0006658423,0.0002323027,0.001331246],"category_scores_gemma":[0.0001705957,0.0003555758,0.0001894373,0.001517151,0.001495021,0.001533955,0.0001588757,0.000228628,0.0002099519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006515296,"about_ca_system_score_gemma":0.0006243805,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0298099,"about_ca_topic_score_gemma":0.00009658935,"domain_scores_codex":[0.9973117,0.0004592799,0.0004710975,0.0005122742,0.0005843544,0.0006612577],"domain_scores_gemma":[0.9985708,0.0003787125,0.0003811834,0.0002949718,0.0001022204,0.0002721329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009094669,0.0002416598,0.8790963,0.0000258696,0.0001133396,0.00005461117,0.007085999,0.000001470853,0.0001809645,0.03722565,0.04278039,0.03310284],"study_design_scores_gemma":[0.0003577124,0.0001012443,0.7466367,0.00006436255,0.00003043847,0.000003982021,0.001771512,0.00003652717,0.0005591456,0.001375789,0.2486488,0.0004137681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8768287,0.0002958725,0.0001020464,0.003411922,0.0004133657,0.0003010723,0.00002781415,0.0001955112,0.1184237],"genre_scores_gemma":[0.980269,0.004345494,0.006099998,0.001388336,0.0005160572,0.0000515556,0.00007681901,0.00006197377,0.007190784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2058684,"threshold_uncertainty_score":0.9998896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784884726162767,"score_gpt":0.2782452407226462,"score_spread":0.2603963934610186,"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."}}