{"id":"W3198720815","doi":"10.2139/ssrn.3257028","title":"Latent Complementarity in Bundles Models","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Complementarity (molecular biology); Mathematics; Biology","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":[0.005665826,0.001152244,0.002620919,0.003653957,0.002604634,0.005391472,0.002137213,0.004192938,0.01630821],"category_scores_gemma":[0.02917044,0.001772924,0.001917436,0.004746222,0.004628013,0.01067112,0.004594797,0.004281986,0.001449631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002255878,"about_ca_system_score_gemma":0.00166379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006083334,"about_ca_topic_score_gemma":0.006360272,"domain_scores_codex":[0.9947762,0.003147882,0.0001764241,0.0007455017,0.000686442,0.0004674008],"domain_scores_gemma":[0.977248,0.01690339,0.001791807,0.001724919,0.001242838,0.001089052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001854141,0.00002775251,0.0003977436,0.00002966611,0.00002845459,0.00003562558,0.0001597856,0.008731241,0.00005024223,0.9865194,0.000719603,0.003281939],"study_design_scores_gemma":[0.000005772358,0.000004807124,0.0001103795,0.00001054258,0.00001133898,0.00001780545,0.00003190623,0.05256592,0.00001941901,0.9467155,0.0004995662,0.000006878858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07520212,0.0008402939,0.896023,0.004161304,0.00009087299,0.00006007638,0.0004178455,0.0003289289,0.02287548],"genre_scores_gemma":[0.8490107,0.001166172,0.1211454,0.0006179791,0.0003398317,0.0003314631,0.0008463097,0.0003914039,0.02615077],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01630821,"threshold_uncertainty_score":0.05455643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03548543246422953,"score_gpt":0.2746239843505228,"score_spread":0.2391385518862932,"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."}}