{"id":"W2074468584","doi":"10.1080/08276331.2004.10593315","title":"Developing Behavioural Observation Scales to Foster Effective Entrepreneurship","year":2004,"lang":"en","type":"article","venue":"Journal of Small Business & Entrepreneurship","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Entrepreneurship; Coaching; Variety (cybernetics); Psychology; Instrumentation (computer programming); Data collection; Scale (ratio); Applied psychology; Survey instrument; Marketing; Business; Computer science; Sociology; Finance; Social science","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":[0.0146059,0.000349338,0.0003478777,0.001793369,0.000513026,0.001067102,0.0006475936,0.0003951124,0.00139052],"category_scores_gemma":[0.05017788,0.0003253428,0.0004101897,0.001009103,0.0005710473,0.001305377,0.001389317,0.001076665,0.0003396939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017961,"about_ca_system_score_gemma":0.001545079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001546854,"about_ca_topic_score_gemma":0.002983999,"domain_scores_codex":[0.9931824,0.004219617,0.0007688442,0.0003089933,0.001238496,0.0002815593],"domain_scores_gemma":[0.9447069,0.0344723,0.00621105,0.002839604,0.01032938,0.001440716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000349092,0.002500907,0.5657147,0.0006999881,0.0001135424,0.00009500473,0.01061658,0.002222103,0.006822048,0.004111111,0.004323278,0.4024316],"study_design_scores_gemma":[0.0001528387,0.002664425,0.9511213,0.0004462819,0.00008911426,0.00009817735,0.007829982,0.01136191,0.006992801,0.004028708,0.01512232,0.00009223427],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9052517,0.0001815708,0.06933563,0.0005032656,0.0001374612,0.007352705,0.001015766,0.0005052717,0.01571665],"genre_scores_gemma":[0.8720505,0.0002726224,0.1160869,0.0001289294,0.00003724884,0.009221771,0.0009194943,0.00002870535,0.0012538],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0146059,"threshold_uncertainty_score":0.07724428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05675895993756351,"score_gpt":0.2564455215550072,"score_spread":0.1996865616174436,"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."}}