{"id":"W6950787529","doi":"10.5683/sp2/s9d7rw","title":"THE ROLE OF PERSONALITY IN DEFINING THE BOUNDARY BETWEEN PERSUASIVE TECHNOLOGY AND COERCION (Data Set)","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Meaning (existential); Personality; Coercion (linguistics); Perception; Boundary (topology); Interview","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002417892,0.0004456237,0.0005040411,0.001258042,0.0006502814,0.001519376,0.001072062,0.0007453369,0.01028584],"category_scores_gemma":[0.01280369,0.0003092097,0.0003591873,0.001573559,0.0003931265,0.0008945906,0.00133805,0.0009646399,0.009721665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009071087,"about_ca_system_score_gemma":0.0008634372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01443479,"about_ca_topic_score_gemma":0.02481489,"domain_scores_codex":[0.9986138,0.0004533408,0.0001618485,0.0001839666,0.0004237097,0.0001632394],"domain_scores_gemma":[0.9922466,0.002854616,0.001091882,0.001481487,0.001780219,0.0005451727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001603245,0.0007086123,0.4556525,0.001065822,0.0001722138,0.0001528971,0.002533977,0.001081173,0.001009741,0.00221896,0.4747005,0.05910038],"study_design_scores_gemma":[0.000162167,0.0001999157,0.8378627,0.0002933113,0.00006828725,0.0002168546,0.002442302,0.002123045,0.001931979,0.001202154,0.1534143,0.00008304943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2451169,0.0002273521,0.001326799,0.0007416667,0.00008353567,0.0005052417,0.7412394,0.0002701442,0.01048909],"genre_scores_gemma":[0.2020255,0.0001333803,0.003268105,0.0002505951,0.00003380741,0.001911363,0.7870781,0.00008395886,0.005215163],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01443479,"threshold_uncertainty_score":0.03440958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03098225262693243,"score_gpt":0.2982592120833205,"score_spread":0.267276959456388,"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."}}