{"id":"W2948450036","doi":"10.11575/pplt.v3i1.53146","title":"Conversations and Perspectives on Peer Feedback for Problem Solving","year":2018,"lang":"en","type":"article","venue":"University of Calgary","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Conversation; Peer feedback; Session (web analytics); Leverage (statistics); Computer science; Context (archaeology); Peer review; Mathematics education; Psychology; Pedagogy; World Wide Web; Artificial intelligence; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.06063103,0.001263579,0.0008723817,0.00380319,0.01871155,0.01751164,0.002393308,0.006938997,0.002934568],"category_scores_gemma":[0.127211,0.0005299101,0.0008453385,0.002692486,0.03067893,0.01585967,0.0137933,0.01202336,0.0004996932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008096437,"about_ca_system_score_gemma":0.007178911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003808917,"about_ca_topic_score_gemma":0.003197441,"domain_scores_codex":[0.8163312,0.1655449,0.001897727,0.002531788,0.009771434,0.003922979],"domain_scores_gemma":[0.797061,0.1742803,0.006790147,0.004020181,0.01265333,0.005195081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004921404,0.00002414884,0.0005373807,0.000256319,0.00001429755,0.0007036919,0.9074625,0.0001758804,0.0004958214,0.07387751,0.003135288,0.01326798],"study_design_scores_gemma":[0.00002098205,0.0001398361,0.001537039,0.001379254,0.00002360046,0.001262399,0.6932673,0.0007926399,0.001069822,0.0357166,0.2647132,0.00007733098],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3027056,0.03857986,0.07695834,0.2877128,0.006196484,0.0003942349,0.0001872759,0.0003609067,0.2869045],"genre_scores_gemma":[0.9784279,0.005967193,0.004929185,0.003443077,0.001144321,0.0001827574,0.00002766765,0.0001824874,0.005695364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06063103,"threshold_uncertainty_score":0.3206514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02844674265364301,"score_gpt":0.2801169388451335,"score_spread":0.2516701961914905,"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."}}