{"id":"W4246304343","doi":"10.1007/978-1-4939-7131-2_100378","title":"Family Groups in Crowd","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Psychology","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":[0.0004962641,0.0005348577,0.0003111036,0.0007480344,0.01216993,0.004305696,0.0007762082,0.001376257,0.04582144],"category_scores_gemma":[0.001108078,0.0001750442,0.0002408786,0.0007125597,0.005387694,0.004184848,0.00546245,0.00168179,0.003723125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003032197,"about_ca_system_score_gemma":0.001918762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01151526,"about_ca_topic_score_gemma":0.02904359,"domain_scores_codex":[0.9995444,0.0001804849,0.000007135356,0.00007445912,0.00006033225,0.0001331155],"domain_scores_gemma":[0.9997844,0.00005415594,0.00001409299,0.00001946875,0.00002715924,0.0001007046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002528273,0.00005817582,0.0009363552,0.00004485574,0.000005707599,0.0004230051,0.04490197,0.0002575206,0.0000896226,0.8167675,0.07850146,0.05798865],"study_design_scores_gemma":[0.0000053973,0.00001789232,0.001068877,0.0001885256,0.000004305763,0.0001406052,0.04362588,0.0001730703,0.00007478349,0.08890223,0.8657913,0.000007111295],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01961424,0.00198566,0.00114434,0.004820078,0.0007737319,0.00003764427,0.00003981825,0.00002964626,0.9715548],"genre_scores_gemma":[0.3742934,0.002357195,0.001275262,0.00159156,0.0004966218,0.0000953221,0.00007407357,0.00006277508,0.6197538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04582144,"threshold_uncertainty_score":0.1532879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303658374136827,"score_gpt":0.3021755141521894,"score_spread":0.2718096767385066,"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."}}