{"id":"W7043949203","doi":"","title":"Undervisning i teknologisk dannelse i læreruddannelsens naturfag","year":2021,"lang":"da","type":"article","venue":"","topic":"Historical Education Studies Worldwide","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Identification (biology); Process (computing); Work (physics); Context (archaeology)","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":[0.00213702,0.0003832247,0.0003736494,0.001298535,0.005183159,0.009612144,0.0006388887,0.00182582,0.03686829],"category_scores_gemma":[0.002843281,0.0002094161,0.0001999574,0.001465928,0.006368149,0.003359077,0.005452051,0.003656148,0.00387997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004966146,"about_ca_system_score_gemma":0.006975538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01412064,"about_ca_topic_score_gemma":0.02272917,"domain_scores_codex":[0.9984344,0.0006293698,0.00008045338,0.0002097696,0.0003286822,0.0003173063],"domain_scores_gemma":[0.9990102,0.000348488,0.00009940102,0.0001477406,0.000169913,0.0002241562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001178321,0.0001090247,0.004135699,0.0004541678,0.00002255371,0.0003799224,0.05257904,0.0005696052,0.001426213,0.6924471,0.0475243,0.2002344],"study_design_scores_gemma":[0.000006678623,0.00003433524,0.002651941,0.0004393419,0.000006399962,0.00009413632,0.01579321,0.00008905427,0.0004959152,0.03464708,0.9457294,0.00001242336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08350893,0.03483624,0.004322889,0.04980915,0.004206074,0.00003318504,0.0002988167,0.000142422,0.8228422],"genre_scores_gemma":[0.672003,0.01848346,0.002590728,0.004142625,0.0009212012,0.00004125763,0.00036191,0.0002296015,0.3012262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03686829,"threshold_uncertainty_score":0.1233368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04350237098680011,"score_gpt":0.3528009106592245,"score_spread":0.3092985396724244,"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."}}