{"id":"W3031392277","doi":"10.21083/partnership.v15i1.5450","title":"Reducing Hardships","year":2020,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Mathematical economics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003863615,0.0009517749,0.0005238865,0.002168796,0.008087948,0.006331462,0.00198394,0.001637805,0.05864644],"category_scores_gemma":[0.0187771,0.0003305212,0.000873349,0.00137582,0.002739006,0.002966482,0.0124118,0.002619397,0.008827987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003726433,"about_ca_system_score_gemma":0.01140593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01068604,"about_ca_topic_score_gemma":0.01827087,"domain_scores_codex":[0.9943597,0.001447455,0.0001875885,0.0005155777,0.001716619,0.001773036],"domain_scores_gemma":[0.9842753,0.001514783,0.001739361,0.0009595247,0.003278959,0.008232122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001918655,0.001407651,0.1371438,0.0008130066,0.0001686637,0.002243126,0.03822796,0.0006319416,0.002050954,0.02348268,0.198809,0.5948294],"study_design_scores_gemma":[0.00005671194,0.0005557003,0.1386952,0.001345505,0.00007720514,0.001518294,0.1151161,0.0005358419,0.001041725,0.01636334,0.7245819,0.0001124562],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.586149,0.003729714,0.008802298,0.07731112,0.004076469,0.0006025255,0.0008099288,0.001102067,0.3174169],"genre_scores_gemma":[0.8330978,0.003751901,0.007055696,0.01441747,0.001198003,0.0005151983,0.0008608871,0.0003296093,0.1387735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05864644,"threshold_uncertainty_score":0.1961919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2854968928767329,"score_gpt":0.4317104500602479,"score_spread":0.146213557183515,"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."}}