{"id":"W7018614516","doi":"","title":"Digistä selville selvästi suomeksi – opettajien kokemuksia maahanmuuttajille suunnatun SelkoDigi-koulutuksen pilotoinnista","year":2022,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Work (physics); Quarter (Canadian coin)","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":[0.001106036,0.0005393632,0.0003428594,0.0009095446,0.002440088,0.004976158,0.0007678805,0.001223298,0.1109064],"category_scores_gemma":[0.001430922,0.0002879765,0.0005378331,0.0009215754,0.001007351,0.002773219,0.004186025,0.002117471,0.03411871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002434002,"about_ca_system_score_gemma":0.004538412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01012414,"about_ca_topic_score_gemma":0.03514345,"domain_scores_codex":[0.9991841,0.00006896055,0.00003563913,0.0002004668,0.0003121472,0.0001987232],"domain_scores_gemma":[0.9990352,0.0001189388,0.00007143173,0.00009710926,0.0003721017,0.0003051993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009935496,0.0006301053,0.02406075,0.001469441,0.00007359423,0.001572854,0.01722158,0.0007351213,0.05107472,0.1119464,0.136078,0.6541439],"study_design_scores_gemma":[0.000009629201,0.0001048151,0.0105629,0.0001545932,0.00001560452,0.0002413583,0.002660085,0.00008546507,0.003662809,0.002275198,0.9802014,0.00002610732],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09790384,0.004560588,0.006520863,0.006604663,0.001639907,0.0001977884,0.002091794,0.0007211727,0.8797593],"genre_scores_gemma":[0.1415339,0.003547404,0.006848807,0.001506087,0.0001716236,0.0001464325,0.001953705,0.0004749335,0.8438172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1109064,"threshold_uncertainty_score":0.3710188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215154255788009,"score_gpt":0.2596469138947919,"score_spread":0.238131488315991,"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."}}