{"id":"W2196401151","doi":"10.29173/alr287","title":"Collateral Benefits Revisited: A Case Comment on IBM Canada Limited v. Waterman","year":2015,"lang":"en","type":"article","venue":"Alberta Law Review","topic":"Business Law and Ethics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collateral; IBM; Collateral damage; Economics; Business; Finance; Sociology; Nanotechnology; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01131079,0.0007225189,0.000917109,0.002589309,0.01970512,0.01064036,0.005248089,0.04248245,0.008121701],"category_scores_gemma":[0.03245055,0.001512251,0.001377384,0.004738837,0.01331704,0.005715135,0.00334828,0.02850073,0.001146602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03712843,"about_ca_system_score_gemma":0.08072867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8592596,"about_ca_topic_score_gemma":0.9249559,"domain_scores_codex":[0.9884278,0.001498844,0.0003861891,0.001598174,0.005321367,0.002767653],"domain_scores_gemma":[0.9728547,0.01991844,0.0007397477,0.0007298636,0.004582453,0.001174749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006674566,0.00002906177,0.002825534,0.0001192483,0.00003474793,0.003915327,0.009352577,0.0005082674,0.0008114839,0.4740385,0.495892,0.01240649],"study_design_scores_gemma":[0.0001203879,0.0000439877,0.007152929,0.0007650304,0.0001960037,0.001149865,0.01201287,0.001330183,0.001412961,0.04458531,0.9309587,0.0002717546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04216981,0.00620342,0.002652607,0.6645121,0.001938262,0.0002144465,0.00065505,0.0001748943,0.2814794],"genre_scores_gemma":[0.3311896,0.005686439,0.001848372,0.4973947,0.002559062,0.0002023438,0.0002280408,0.0002460483,0.1606453],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1407404,"threshold_uncertainty_score":0.2831385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05037109296424565,"score_gpt":0.2510105469478715,"score_spread":0.2006394539836259,"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."}}