{"id":"W2800348551","doi":"10.7202/1045158ar","title":"Usages du quantitatif en méthodologie de la théorisation enracinée (MTE)","year":2018,"lang":"fr","type":"article","venue":"Approches inductives Travail intellectuel et construction des connaissances","topic":"Cognitive and psychological constructs research","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Université du Québec à Trois-Rivières","keywords":"Humanities; Art; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005542947,0.0008229768,0.0008413964,0.0006316389,0.0009559942,0.0005353235,0.0008413717,0.001284066,0.01068814],"category_scores_gemma":[0.008744762,0.0008076646,0.0003329923,0.001470655,0.07132552,0.000946871,0.0002196538,0.002022269,0.0007705499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003119064,"about_ca_system_score_gemma":0.0004407312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003948823,"about_ca_topic_score_gemma":0.0001238035,"domain_scores_codex":[0.9838346,0.01175967,0.0009771461,0.001582406,0.0005252159,0.001321022],"domain_scores_gemma":[0.9868204,0.01056624,0.0004788096,0.0006215228,0.001131252,0.0003817861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001491369,0.0006140501,0.02371912,0.0002675027,0.0009323852,0.00006928552,0.06002655,0.000003993437,0.008190349,0.2270617,0.007851859,0.6697718],"study_design_scores_gemma":[0.003500578,0.004173832,0.2515818,0.00101399,0.0004319046,0.005457426,0.1831379,0.0002665573,0.02398128,0.1941216,0.3301058,0.002227263],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7151489,0.01471895,0.1050149,0.002861334,0.004285446,0.0007999192,0.00009754701,0.0002882249,0.1567847],"genre_scores_gemma":[0.9744924,0.006498394,0.01229393,0.0007351042,0.002151476,0.0001722057,0.00002976088,0.00008899232,0.003537744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6675445,"threshold_uncertainty_score":0.999605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.131246971083735,"score_gpt":0.4457628015970841,"score_spread":0.3145158305133491,"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."}}