{"id":"W1562020897","doi":"10.22230/cjc.2011v36n1a2327","title":"The Media Communications Environment through a Spatial Lens: The Mapping the Media in the Americas Project","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Media and Digital Communication","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Open Society Institute","keywords":"Lens (geology); Through-the-lens metering; Geography; Political science; Sociology; Optics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.003108408,0.0001477289,0.0001595002,0.0001134065,0.001436559,0.0003641284,0.01299965,0.00005685235,0.000007862182],"category_scores_gemma":[0.0007188063,0.00006934851,0.0001091254,0.0005856089,0.001037208,0.0007213707,0.0004663206,0.0009003858,0.00002005587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001610158,"about_ca_system_score_gemma":0.0007571725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01276963,"about_ca_topic_score_gemma":0.1018326,"domain_scores_codex":[0.996503,0.002018971,0.000657353,0.0001095903,0.0004016699,0.0003093921],"domain_scores_gemma":[0.990479,0.003497597,0.0006272731,0.005175951,0.0001450724,0.00007509426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002217112,0.0001541638,0.002842964,0.000005630457,0.00009670162,0.00001097829,0.5278394,0.00003830732,0.00002860385,0.2709722,0.00975582,0.188233],"study_design_scores_gemma":[0.0005902835,0.0001314226,0.09317631,0.0001627906,0.00005493671,0.0002750173,0.03673487,0.004298264,0.00006096661,0.05975238,0.8044221,0.000340669],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04188424,0.1018926,0.0973459,0.6129371,0.001921559,0.004626405,0.00003978935,0.00009480829,0.1392576],"genre_scores_gemma":[0.9859981,0.006684081,0.005384087,0.001777239,0.00005388493,0.0000735004,0.000009208419,0.00001010799,0.000009769482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9441139,"threshold_uncertainty_score":0.9998634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1891490445497527,"score_gpt":0.268756358679732,"score_spread":0.07960731412997926,"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."}}