{"id":"W4231111420","doi":"10.1007/978-1-4939-7131-2_100862","title":"Peculiarity of Data Collection in Organizations","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Business and Economic Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02396589,0.0003938667,0.0006949456,0.004065814,0.003241871,0.01189866,0.001773215,0.001819784,0.004449296],"category_scores_gemma":[0.06043309,0.0007608065,0.0008652989,0.01155517,0.0103572,0.01464867,0.005618984,0.00426925,0.001598121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003477963,"about_ca_system_score_gemma":0.005120883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004254894,"about_ca_topic_score_gemma":0.003168992,"domain_scores_codex":[0.9805489,0.009924711,0.001476197,0.002903762,0.004381957,0.00076445],"domain_scores_gemma":[0.9286039,0.049417,0.001666738,0.01522867,0.004072598,0.00101115],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000420242,0.00003128879,0.005959197,0.0004171706,0.00004149497,0.0001590371,0.005520915,0.0008972248,0.0004284189,0.8113993,0.01780394,0.1573001],"study_design_scores_gemma":[0.000009243591,0.0000255933,0.005354471,0.0007091279,0.0000358361,0.0008880862,0.003469175,0.003555173,0.00180208,0.6738554,0.3102392,0.00005664006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06819837,0.03229548,0.5152354,0.05855604,0.002275894,0.0004263381,0.003956079,0.001295056,0.3177613],"genre_scores_gemma":[0.6142575,0.0246797,0.2882931,0.006716569,0.003030273,0.001162211,0.004194504,0.00154668,0.05611952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9760341,"threshold_uncertainty_score":0.1267453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03073542388859695,"score_gpt":0.2154006042582282,"score_spread":0.1846651803696313,"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."}}