{"id":"W4400778654","doi":"10.37725/mgmt.2024.9048","title":"From One Place to Another – Place Attendance as Resources for Innovators","year":2024,"lang":"en","type":"article","venue":"M n gement","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"Agence Nationale de la Recherche","keywords":"Attendance; Plural; Perspective (graphical); Homogeneous; Process (computing); Knowledge management; Business; Marketing; Computer science; Economic growth; Economics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003263719,0.00009629426,0.0001028817,0.00004128744,0.0002504852,0.000252506,0.0001849301,0.00005997624,0.001835459],"category_scores_gemma":[0.00006965367,0.00008308252,0.00003544336,0.0003573435,0.00004434191,0.00008502407,0.0000675442,0.00006917088,0.0003233314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002590944,"about_ca_system_score_gemma":0.0001038104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005262144,"about_ca_topic_score_gemma":0.002423081,"domain_scores_codex":[0.9989442,0.00002505085,0.0001579881,0.0002774041,0.0003183432,0.0002769992],"domain_scores_gemma":[0.9996582,0.00008262885,0.00002563327,0.0001009549,0.00005858346,0.00007401786],"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":[0.00003006502,0.00002053776,0.0002533845,0.000009898785,0.00006552559,0.000003004397,0.0238087,0.00001585713,0.0002613631,0.003068967,0.9554669,0.01699576],"study_design_scores_gemma":[0.0001082788,0.00004113131,0.0004783507,0.00008985011,0.00001117939,6.015205e-8,0.006577993,0.00001229241,0.0005557489,0.0003748968,0.9916081,0.0001421464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8094671,0.001044543,0.0006146869,0.156505,0.001642629,0.00123915,0.00008619417,0.0002736491,0.02912695],"genre_scores_gemma":[0.26255,0.00003947165,0.003287029,0.004605546,0.002047578,0.0002899928,0.00002283099,0.00003574494,0.7271218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6979948,"threshold_uncertainty_score":0.999077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04936300326623357,"score_gpt":0.3164988561951543,"score_spread":0.2671358529289207,"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."}}