{"id":"W1977680003","doi":"10.1177/0270467612459928","title":"Eyeless in America","year":2012,"lang":"en","type":"article","venue":"Bulletin of Science Technology & Society","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Subject (documents); Function (biology); Set (abstract data type); Political science; Sociology; Media studies; Computer science; Library science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005621312,0.0002361122,0.0001572381,0.001032742,0.003571131,0.004369262,0.0002119114,0.0009117971,0.01307762],"category_scores_gemma":[0.00192035,0.0001033779,0.0001411086,0.00111362,0.002544748,0.002965715,0.001953413,0.001571617,0.0006523227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783673,"about_ca_system_score_gemma":0.0007806962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01133975,"about_ca_topic_score_gemma":0.01749015,"domain_scores_codex":[0.9994612,0.0001779025,0.00001293879,0.00007647597,0.0001153077,0.0001561327],"domain_scores_gemma":[0.999012,0.0003732136,0.0001876657,0.00005141442,0.0001664341,0.0002091842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002656694,0.0001269458,0.02644205,0.0005526482,0.00004318775,0.002200177,0.2211034,0.0002162662,0.004096191,0.4140978,0.1728347,0.1580209],"study_design_scores_gemma":[0.000007506029,0.00003606831,0.01838191,0.0003985921,0.0000144357,0.0007090455,0.03923552,0.0001165473,0.0005828206,0.006394545,0.9341056,0.00001748349],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3342449,0.01676592,0.001096067,0.02413639,0.001659458,0.00002750474,0.0003932208,0.00007768043,0.6215988],"genre_scores_gemma":[0.933618,0.005812654,0.0004343936,0.002961441,0.0006304599,0.00001510289,0.0001974299,0.00007139234,0.05625914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9964288,"threshold_uncertainty_score":0.04374897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829563822470829,"score_gpt":0.2321402249361558,"score_spread":0.2138445867114475,"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."}}