{"id":"W3113159769","doi":"10.3390/su122410589","title":"Paying Attention: Big Data and Social Advertising as Barriers to Ecological Change","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Death Anxiety and Social Exclusion","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Commodification; Advertising; Social media; Sustainability; Commodity; Big data; Consumption (sociology); Business; Space (punctuation); Marketing; Sociology; Economics; Ecology; Social science; World Wide Web; Economy; Computer 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":[],"consensus_categories":[],"category_scores_codex":[0.005385952,0.0003119751,0.000337876,0.002063074,0.005336246,0.01145332,0.001204394,0.002748125,0.005602477],"category_scores_gemma":[0.01366535,0.0002620259,0.0003916432,0.001724806,0.01986768,0.01181999,0.008206297,0.004185049,0.0002472466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003311065,"about_ca_system_score_gemma":0.002604965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00530848,"about_ca_topic_score_gemma":0.006325435,"domain_scores_codex":[0.9960602,0.002300704,0.00009744051,0.0002946189,0.0006576094,0.0005894204],"domain_scores_gemma":[0.9789433,0.01343695,0.003256483,0.0009407726,0.001108897,0.002313694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001437685,0.0002732346,0.0516134,0.0002617481,0.00007680782,0.0006179996,0.1153417,0.00033085,0.000898764,0.7696344,0.009894913,0.05091251],"study_design_scores_gemma":[0.00005975791,0.0001972751,0.07626978,0.001105408,0.0001174732,0.0009929381,0.2702644,0.003336399,0.001720888,0.4688012,0.1769586,0.0001759372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5890349,0.006358546,0.0110795,0.1965181,0.0005923671,0.00009860261,0.00009858551,0.00007796926,0.1961416],"genre_scores_gemma":[0.991055,0.0009696211,0.0006239278,0.004853718,0.0001549152,0.00002795868,0.00001384359,0.00001697119,0.002284086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01145332,"threshold_uncertainty_score":0.02848399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08744330466122559,"score_gpt":0.3650392783995758,"score_spread":0.2775959737383502,"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."}}