{"id":"W6986359493","doi":"","title":"Peak-nic Electronik: Following the Formation & Culmination of Social Atmospheres Through Temporally and Spatially Spread Group Consumption Settings","year":2023,"lang":"en","type":"other","venue":"Spectrum Research Repository (Concordia University)","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atmosphere (unit); Ethnography; Context (archaeology); Consumption (sociology); Entrainment (biomusicology); Focus group; Social relation; Social environment; Phenomenology (philosophy); Participant observation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002711953,0.0001875924,0.0001978317,0.0001044829,0.0004387127,0.00004135029,0.0003262904,0.0002868429,0.0000120407],"category_scores_gemma":[0.00002407731,0.0001845865,0.0001299307,0.0003139398,0.0003043856,0.00002731644,0.0002026992,0.0003256137,0.000004302701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001502458,"about_ca_system_score_gemma":0.0001762913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002232907,"about_ca_topic_score_gemma":0.01047238,"domain_scores_codex":[0.9985664,0.000207885,0.0001833011,0.0004094008,0.0002614096,0.0003716236],"domain_scores_gemma":[0.9992796,0.00004534447,0.0002623761,0.000302265,0.00006853886,0.00004189272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002211937,0.00009704558,0.003480732,0.0003117452,0.000360655,0.00002821337,0.0002542297,0.00000460296,0.8962612,0.01150297,0.08577161,0.001705832],"study_design_scores_gemma":[0.0006576172,0.0006564974,0.002674823,0.0001712422,0.0001075076,0.00001618561,0.00032386,0.00003809767,0.2085731,0.000738833,0.7856091,0.0004331624],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6530153,0.00429624,0.05817952,0.002299312,0.0004103934,0.005488773,0.0001759941,0.001033383,0.2751011],"genre_scores_gemma":[0.8423232,0.003892573,0.0006521009,0.000020374,0.0004564004,0.0000319164,0.0002676354,0.0003619403,0.1519939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6998374,"threshold_uncertainty_score":0.7527218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397614089942014,"score_gpt":0.3082285429780033,"score_spread":0.2942524020785832,"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."}}