{"id":"W7061245329","doi":"","title":"The Process of Entering Flow and the Outcomes of Flow in Product Trials","year":2017,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Fluency; Context (archaeology); Rowing; Process (computing); Product (mathematics); Perception; Replicate","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00888011,0.0002782898,0.0003716575,0.0006746436,0.001129741,0.005154874,0.000514528,0.0009913797,0.005622974],"category_scores_gemma":[0.06658516,0.0003274051,0.0005084802,0.0005358625,0.002742676,0.004114714,0.002196636,0.001828906,0.0005720216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006054124,"about_ca_system_score_gemma":0.0005358027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002994242,"about_ca_topic_score_gemma":0.0003154321,"domain_scores_codex":[0.9912602,0.005750097,0.0003345647,0.0004395423,0.001856814,0.0003588451],"domain_scores_gemma":[0.9612672,0.02771393,0.005590914,0.001796232,0.00218107,0.001450647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007513857,0.004138858,0.1751633,0.003416357,0.0004635795,0.001964786,0.1709341,0.004549325,0.05976021,0.1648089,0.005970454,0.4013163],"study_design_scores_gemma":[0.0006482314,0.0103795,0.6581572,0.00173369,0.0003787653,0.001627392,0.05965291,0.01064075,0.03613258,0.1646465,0.05540346,0.0005991342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9367644,0.0007473633,0.01815786,0.001001312,0.0001245341,0.0004336272,0.0001048086,0.0001010812,0.04256513],"genre_scores_gemma":[0.9884843,0.0003814668,0.007446062,0.0001864991,0.00003840517,0.000369719,0.00007536136,0.00006004236,0.00295812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00888011,"threshold_uncertainty_score":0.04696304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993020288043103,"score_gpt":0.2716604348544112,"score_spread":0.2517302319739801,"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."}}