{"id":"W2099171473","doi":"10.1177/0162243908329182","title":"G-COT","year":2009,"lang":"en","type":"article","venue":"Science Technology & Human Values","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Product (mathematics); Process (computing); Foundation (evidence); Consumption (sociology); Economic geography; Production (economics); Technological change; Perspective (graphical); Regional science; Business; Sociology; Political science; Computer science; Geography; Social science; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005649708,0.0005245811,0.000239051,0.001357721,0.0009639761,0.00265707,0.0009902249,0.001155355,0.05956136],"category_scores_gemma":[0.002177003,0.0002314921,0.0004293846,0.002429506,0.001128739,0.002317162,0.003032031,0.0007972095,0.02096989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165071,"about_ca_system_score_gemma":0.001566081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008572851,"about_ca_topic_score_gemma":0.009611672,"domain_scores_codex":[0.9990944,0.0001626788,0.00003693558,0.0001867298,0.0003660782,0.0001532433],"domain_scores_gemma":[0.998662,0.0001709439,0.0001133657,0.0004167906,0.0004564311,0.0001804849],"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":[0.0002758412,0.000144116,0.008744082,0.0006261116,0.0000262135,0.001429992,0.002152126,0.00323813,0.00611905,0.4927089,0.08576301,0.3987724],"study_design_scores_gemma":[0.00003315394,0.0001721609,0.004505175,0.0001514644,0.00001680992,0.001449863,0.001353659,0.003192903,0.002227668,0.03720948,0.9496577,0.00002991229],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04330049,0.001126365,0.08580691,0.0021352,0.0008622202,0.0006131767,0.002027852,0.00377231,0.8603554],"genre_scores_gemma":[0.5339162,0.002485416,0.1195502,0.002421405,0.0002169513,0.0005506204,0.004074141,0.001577773,0.3352072],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05956136,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04475207676359295,"score_gpt":0.3554099495400449,"score_spread":0.310657872776452,"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."}}