{"id":"W3089135151","doi":"","title":"Persuasive 2020 Adjunct Proceedings: 15th International Conference on Persuasive Technology, Adjunct Proceedings (PERSUASIVE 2020)","year":2020,"lang":"en","type":"book","venue":"International Conference on Persuasive Technology","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Adjunct; Persuasive technology; Psychology; Persuasion; Philosophy; Social psychology; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0005716307,0.003170846,0.002604346,0.007227398,0.0008521043,0.001191531,0.01403182,0.004909396,0.003028497],"category_scores_gemma":[0.002977186,0.003342753,0.0008952447,0.003001359,0.003528637,0.002195207,0.004287312,0.009539979,0.004209188],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005307029,"about_ca_system_score_gemma":0.002769986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002506136,"about_ca_topic_score_gemma":0.00004633538,"domain_scores_codex":[0.9859211,0.00008134347,0.002458276,0.006138549,0.003269657,0.002131006],"domain_scores_gemma":[0.9807553,0.0002838845,0.003720283,0.00165202,0.01312165,0.0004668828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007368435,0.0005338935,0.000198102,0.0001048822,0.001808491,0.0008535273,0.001944906,0.000003599582,0.01596133,0.8717464,0.1002451,0.00586304],"study_design_scores_gemma":[0.01129331,0.01730908,0.0002019528,0.007166735,0.0007536709,0.004704042,0.04537064,0.02264428,0.05487438,0.4604079,0.3646401,0.0106339],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006623154,0.000277355,0.003559373,0.189768,0.00977101,0.004360172,0.001007144,0.004746477,0.7798873],"genre_scores_gemma":[0.8326426,0.002387042,0.007498325,0.007672166,0.003194247,0.002915639,0.001323583,0.0006887152,0.1416777],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8260195,"threshold_uncertainty_score":0.9998453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03597384750849258,"score_gpt":0.3018048136750736,"score_spread":0.265830966166581,"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."}}