{"id":"W4309524787","doi":"10.1108/imds-03-2022-0185","title":"Economic impacts of in-house and packaged software investments: the influence of software investment opportunities","year":2022,"lang":"en","type":"article","venue":"Industrial Management & Data Systems","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Software; Business; Investment (military); Software development; Value (mathematics); Marketing; Industrial organization; Computer science; 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":[0.0008613507,0.0002986333,0.0002810149,0.001618458,0.0003315655,0.002331223,0.0004114533,0.0005327901,0.00315703],"category_scores_gemma":[0.007389802,0.0001948068,0.000536191,0.002002592,0.0006334951,0.001424291,0.00132163,0.001329471,0.0003760674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00202242,"about_ca_system_score_gemma":0.001023628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01525587,"about_ca_topic_score_gemma":0.02655184,"domain_scores_codex":[0.9990801,0.0002245592,0.00005291126,0.0001127043,0.0002262736,0.000303506],"domain_scores_gemma":[0.9878619,0.005034648,0.00503938,0.000318599,0.0007302014,0.001015277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001412968,0.0002032465,0.9663076,0.0000573422,0.0001946338,0.0003954397,0.0001245078,0.01365989,0.0003912993,0.003123625,0.001286099,0.01411495],"study_design_scores_gemma":[0.00001185074,0.0001854093,0.9747432,0.00006144105,0.0001395302,0.0001246986,0.0008807346,0.01740443,0.0007417587,0.002512487,0.003169546,0.0000249257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926051,0.0003900686,0.0006175812,0.0006247416,0.00001217137,0.00001687488,0.000920278,0.00001159562,0.004801556],"genre_scores_gemma":[0.9982352,0.000229523,0.0001056661,0.00003324584,0.0000118318,0.000005967163,0.0005802827,0.000002575082,0.0007957622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01525587,"threshold_uncertainty_score":0.03033412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09160914364733252,"score_gpt":0.2325327717993355,"score_spread":0.140923628152003,"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."}}