{"id":"W7038544588","doi":"","title":"The impact of platform workers’ technological self-efficacy on their algorithm sensemaking efforts","year":2025,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Sensemaking; Context (archaeology); Process (computing); Plan (archaeology); Scale (ratio)","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":[0.005010938,0.0002801383,0.0002146727,0.0009185961,0.0008602103,0.002475326,0.0003618345,0.0006163956,0.003871924],"category_scores_gemma":[0.02239912,0.00025589,0.0003803411,0.0004433716,0.001485082,0.0009386404,0.001576566,0.001091213,0.0004440497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003920603,"about_ca_system_score_gemma":0.0007890098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001965969,"about_ca_topic_score_gemma":0.002178631,"domain_scores_codex":[0.9972566,0.001259762,0.0001471152,0.0003302357,0.0005453638,0.0004610299],"domain_scores_gemma":[0.9601798,0.02618144,0.005175734,0.002353569,0.001972324,0.004137096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004167834,0.001296475,0.9362496,0.00008476905,0.0001223263,0.000128594,0.02300345,0.0005235441,0.00193446,0.001004541,0.0004596911,0.03477575],"study_design_scores_gemma":[0.00002453534,0.0004527248,0.986055,0.00004008924,0.00003807392,0.0000415336,0.01011984,0.001135452,0.0005053183,0.0006267318,0.0009334947,0.00002735482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997682,0.00002559562,0.0002514672,0.00008160464,0.00000483942,0.000009264287,0.00001696956,0.000004744948,0.001923477],"genre_scores_gemma":[0.9993968,0.00002291785,0.0002016316,0.0000168437,0.000003398757,0.00001117604,0.00002286934,0.000002858766,0.0003214639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005010938,"threshold_uncertainty_score":0.02650064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008325586128745482,"score_gpt":0.2534901195606516,"score_spread":0.2451645334319061,"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."}}