{"id":"W3158040837","doi":"10.22316/poc/05.1.06","title":"Factors that influence users’ adoption of being coached by an ArtificialIntelligence Coach","year":2020,"lang":"en","type":"article","venue":"Philosophy of Coaching An International Journal","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Applied psychology; Computer science","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":[0.002196763,0.0001817923,0.0002113059,0.000699024,0.0006020867,0.001840521,0.0003437416,0.0007166936,0.001994823],"category_scores_gemma":[0.0251175,0.0002188902,0.0003594975,0.0005162935,0.000552761,0.0007937616,0.0007301286,0.0008928231,0.0004261252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004347805,"about_ca_system_score_gemma":0.0006392709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009030903,"about_ca_topic_score_gemma":0.009621927,"domain_scores_codex":[0.9979791,0.0009123967,0.0002381126,0.0001888536,0.0004228819,0.0002586882],"domain_scores_gemma":[0.9758366,0.01342338,0.004480768,0.001014098,0.002730209,0.002514827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001517988,0.0003580214,0.9742903,0.00004968126,0.00003889202,0.000110983,0.01108497,0.0001285485,0.001002673,0.00007701332,0.0001230376,0.01258415],"study_design_scores_gemma":[0.000005423339,0.0002676347,0.9847358,0.00002359168,0.00002456138,0.0001176274,0.01300225,0.001061805,0.0002399133,0.00005630119,0.0004497807,0.00001536093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999141,0.0000306698,0.0001327187,0.0000666036,0.000002405206,0.00001201625,0.00001284537,0.000005506196,0.0005962966],"genre_scores_gemma":[0.9995307,0.0000318606,0.0001376901,0.00002364896,0.000002181248,0.00001101492,0.00002210641,0.000002470106,0.0002383788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009030903,"threshold_uncertainty_score":0.01795667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2360530582534288,"score_gpt":0.4045438231444364,"score_spread":0.1684907648910075,"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."}}