{"id":"W1550992155","doi":"10.5539/ass.v11n15p313","title":"Identity in Online Personal Ads: A Multimodal Investigation","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Digital Communication and Language","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personal identity; Identity (music); Semiotics; Psychology; Social psychology; Variety (cybernetics); Relation (database); Object (grammar); Linguistics; Self; Computer science; Aesthetics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007029545,0.0000582022,0.00006798102,0.0001123618,0.0001476781,0.0003242429,0.001330975,0.00002823879,0.000004293364],"category_scores_gemma":[0.0002022841,0.00005828856,0.0000225644,0.001613503,0.0003768968,0.002796038,0.0003717211,0.0001081745,0.00004085499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485529,"about_ca_system_score_gemma":0.00035146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001908996,"about_ca_topic_score_gemma":0.0004700736,"domain_scores_codex":[0.9988839,0.00005368442,0.0001226886,0.0002194001,0.000517201,0.0002031105],"domain_scores_gemma":[0.9994949,0.00001240644,0.00005184328,0.0001984321,0.00009233764,0.0001501201],"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":[0.000004129277,0.0001959485,0.005467483,0.000003973608,0.000001909618,0.0000134524,0.07030729,0.000001276187,0.001150538,0.5970009,0.0003094288,0.3255437],"study_design_scores_gemma":[0.001128847,0.00009249045,0.9082665,0.00002980963,0.00000226636,0.00001311343,0.01601585,0.01839226,0.0003940876,0.05038149,0.004787156,0.0004961369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.429127,0.00006206112,0.009740643,0.00776254,0.0002166654,0.0001827174,0.00000612883,0.0001906418,0.5527116],"genre_scores_gemma":[0.9932916,4.976241e-7,0.005925726,0.0006436469,0.00002905191,0.000003298835,0.000003002721,0.000002014233,0.0001012082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.902799,"threshold_uncertainty_score":0.3126682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04327815826526647,"score_gpt":0.328181970485299,"score_spread":0.2849038122200325,"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."}}