{"id":"W2059164392","doi":"10.1006/obhd.2000.2885","title":"An Investigation of Partner Similarity Dimensions on Knowledge Transfer","year":2000,"lang":"en","type":"article","venue":"Organizational Behavior and Human Decision Processes","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":434,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Similarity (geometry); Competitor analysis; Knowledge transfer; Knowledge management; Knowledge sharing; Knowledge value chain; Dimension (graph theory); Computer science; Organizational learning; Business; Marketing; Artificial intelligence; Mathematics","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":[0.004085535,0.0001633648,0.0004011943,0.001251449,0.0008909761,0.002232927,0.0004651497,0.0007218211,0.002708002],"category_scores_gemma":[0.04078837,0.0001667121,0.0002556759,0.001415685,0.001477695,0.002677944,0.002417521,0.0007215982,0.0001621059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054897,"about_ca_system_score_gemma":0.0008872912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001260262,"about_ca_topic_score_gemma":0.001334187,"domain_scores_codex":[0.9975737,0.001412821,0.0001231754,0.0001680224,0.0005402174,0.0001819772],"domain_scores_gemma":[0.9345796,0.05394958,0.004331753,0.002874555,0.002266733,0.001997756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003592236,0.002908023,0.8424249,0.0001579007,0.0001945017,0.000386486,0.02159959,0.002164054,0.0101076,0.0187471,0.0002961441,0.09742143],"study_design_scores_gemma":[0.0001141549,0.001338168,0.9507597,0.00003967946,0.0001612239,0.0003596011,0.01865836,0.009815056,0.003408103,0.01420827,0.0010955,0.00004203027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960399,0.00002809789,0.0003998473,0.00004284109,0.000001512848,0.00001565067,0.0000134506,0.000001772893,0.003456878],"genre_scores_gemma":[0.9997593,0.000008432719,0.0001386459,0.000003945565,9.807371e-7,0.000006564184,0.00001015142,0.000001007946,0.00007097498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004085535,"threshold_uncertainty_score":0.02160668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04298982692889501,"score_gpt":0.3445787858227728,"score_spread":0.3015889588938778,"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."}}