{"id":"W2789339943","doi":"10.3389/fpsyg.2018.00141","title":"Hypernatural Monitoring: A Social Rehearsal Account of Smartphone Addiction","year":2018,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Jewish General Hospital; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Psychology; Addiction; Social connectedness; Social neuroscience; Schema (genetic algorithms); Perception; Cognition; Dysfunctional family; Cognitive psychology; Anticipation (artificial intelligence); Embodied cognition; Social cognition; Harm; Social psychology; Cognitive science; Psychotherapist; Neuroscience; Epistemology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004997654,0.00005960985,0.0001252111,0.0001201084,0.0002386731,0.000007769734,0.0001615245,0.0001728527,0.0001418522],"category_scores_gemma":[0.0000599605,0.00006518475,0.00003391865,0.0003237298,0.000638627,0.0001642071,0.00001333911,0.0001374892,0.0000239825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008441129,"about_ca_system_score_gemma":0.00005676393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001207046,"about_ca_topic_score_gemma":0.00008775485,"domain_scores_codex":[0.9990355,0.0002661788,0.0001748245,0.0001676483,0.0001519386,0.000203933],"domain_scores_gemma":[0.9996995,0.00001677262,0.00006794537,0.00009176287,0.00009625943,0.0000277098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00180977,0.0004569418,0.3784712,0.000007456622,0.00009510783,0.000008629185,0.0419429,0.000003294312,0.006035233,0.02468075,0.2455103,0.3009783],"study_design_scores_gemma":[0.00173501,0.0004392705,0.6652593,0.00003251403,0.00002667674,0.000005376086,0.007969121,0.0000630858,0.000552662,0.05978584,0.2638207,0.000310446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9450951,0.0005480169,0.00343473,0.002142246,0.01196171,0.0001481082,0.000005762937,0.00005339878,0.03661092],"genre_scores_gemma":[0.9948738,0.0001028806,0.002259902,0.0001125736,0.002258232,0.000009607887,0.000003741254,0.000005803193,0.0003734831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3006679,"threshold_uncertainty_score":0.2658157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179985960117553,"score_gpt":0.3465440546117728,"score_spread":0.3247441950105973,"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."}}