{"id":"W4417023775","doi":"10.5539/ijel.v16n1p1","title":"Constructing Positivity in Live-stream E-commerce: An Appraisal Analysis of Interpersonal Stance in Chinese Digital Retail Live-talk","year":2025,"lang":"","type":"article","venue":"International Journal of English Linguistics","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foregrounding; Construct (python library); Judgement; Embodied cognition; Interpersonal communication; Salient; Affect (linguistics); Meaning (existential); Nexus (standard)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002082934,0.0005562615,0.0002803093,0.002132755,0.002780757,0.002137811,0.0003561215,0.0004037463,0.002414348],"category_scores_gemma":[0.004039585,0.0002392097,0.0003125002,0.001431241,0.003037037,0.00238523,0.00211229,0.0006729436,0.0001857643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772443,"about_ca_system_score_gemma":0.001131962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00555795,"about_ca_topic_score_gemma":0.007485362,"domain_scores_codex":[0.9989467,0.0004206725,0.00005538034,0.0001224753,0.0003335431,0.0001212652],"domain_scores_gemma":[0.997884,0.00121716,0.000241342,0.0001263611,0.0004010627,0.0001301455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002133132,0.00006070839,0.05787924,0.0004547736,0.00003174088,0.001742738,0.8300357,0.0002967887,0.02588588,0.01551604,0.0009882423,0.06689474],"study_design_scores_gemma":[0.00001695442,0.0002336792,0.281828,0.0002564661,0.000152784,0.0008736965,0.655005,0.005696659,0.01293987,0.01185679,0.030968,0.0001721154],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798235,0.0001892582,0.004934615,0.0002662435,0.00002609116,0.00005513109,0.00004225959,0.00002327104,0.01463967],"genre_scores_gemma":[0.9964705,0.0001159777,0.001068046,0.00002487057,0.0000151739,0.00003346742,0.00003994452,0.0000128315,0.002219352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00555795,"threshold_uncertainty_score":0.01286006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154042554184883,"score_gpt":0.3313712471175123,"score_spread":0.3198308215756634,"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."}}