{"id":"W3087002346","doi":"10.1016/j.jmir.2020.06.010","title":"Developing an AI project","year":2020,"lang":"en","type":"review","venue":"Journal of medical imaging and radiation sciences","topic":"AI in cancer detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Laptop; Computer science; Identification (biology); Task (project management); Artificial intelligence; Cluster analysis; Software engineering; Human–computer interaction; Data science; Systems engineering; Engineering; Operating system","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":[0.002745023,0.0007221565,0.0005947131,0.002350973,0.0005289448,0.002195093,0.001203739,0.001729878,0.007898252],"category_scores_gemma":[0.00527542,0.0003077924,0.0004665573,0.002277495,0.001323331,0.00365652,0.001422339,0.002243092,0.00337629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001323813,"about_ca_system_score_gemma":0.004176994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001929562,"about_ca_topic_score_gemma":0.001905849,"domain_scores_codex":[0.9992431,0.0002471233,0.00006867034,0.0001183386,0.0002574371,0.00006538787],"domain_scores_gemma":[0.996895,0.002068033,0.0001818243,0.0001679409,0.0005445312,0.0001427678],"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":[0.00002286155,0.00008277613,0.0002384513,0.003607154,0.0000333367,0.0000431049,0.00006664603,0.0004318236,0.0004942032,0.03781494,0.02329205,0.9338726],"study_design_scores_gemma":[0.00001539064,0.00007191924,0.0006965977,0.004119334,0.00004706954,0.0003937643,0.0001224618,0.0006227443,0.001210861,0.03619606,0.956488,0.00001586121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008084459,0.9440094,0.0157784,0.005074602,0.001095738,0.0000708622,0.00006811736,0.0001104549,0.03298393],"genre_scores_gemma":[0.01058588,0.9538518,0.02086555,0.003403526,0.0007646304,0.0001166844,0.0002373239,0.00004372109,0.01013084],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007898252,"threshold_uncertainty_score":0.02642226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08516367348870987,"score_gpt":0.4330829148469902,"score_spread":0.3479192413582803,"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."}}