{"id":"W7053142939","doi":"","title":"Teacher Professional Induction in Quebec and Colombia: What can we share and learn?","year":2019,"lang":"es","type":"article","venue":"Vitae (Universidad de Antioquia)","topic":"thermodynamics and calorimetric analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Professional development; Work (physics); Class (philosophy); Agency (philosophy); Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002048837,0.0002235952,0.0003884218,0.0007525407,0.007364121,0.004273712,0.001680286,0.00174086,0.009524537],"category_scores_gemma":[0.006351904,0.0001516878,0.0002244301,0.001334501,0.002582932,0.00146601,0.002089234,0.002132622,0.0008281316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04212615,"about_ca_system_score_gemma":0.1120329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9083177,"about_ca_topic_score_gemma":0.9710381,"domain_scores_codex":[0.9973537,0.00061581,0.00004951441,0.0001910988,0.0005917484,0.001198199],"domain_scores_gemma":[0.9881343,0.0008897975,0.0007575438,0.0001726648,0.002738111,0.007307603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005409585,0.001017608,0.3957898,0.00117923,0.00008592731,0.003098771,0.1053072,0.0004883076,0.001983439,0.01077793,0.1607949,0.3189358],"study_design_scores_gemma":[0.00005031455,0.0001703821,0.4971738,0.001110703,0.00004407345,0.0004917431,0.2643416,0.0003138544,0.000767767,0.000899924,0.2345402,0.00009571828],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7131889,0.02654685,0.0007632577,0.195955,0.001553693,0.0001689114,0.001092652,0.00009093447,0.06063987],"genre_scores_gemma":[0.951224,0.007809745,0.0006137052,0.006228446,0.000140548,0.00005332362,0.0003085382,0.00002695658,0.03359484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9083177,"threshold_uncertainty_score":0.305648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009439538178482476,"score_gpt":0.2464357563777757,"score_spread":0.2369962181992933,"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."}}