{"id":"W6925023338","doi":"10.17605/osf.io/2um5z","title":"HSI Model","year":2018,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Symbol (formal); Symbolic data analysis; Variety (cybernetics); Fraction (chemistry); The Symbolic; Symbolic computation; Relation (database); Variable (mathematics)","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":[0.001747941,0.001158583,0.0008689711,0.001879771,0.001226829,0.004243167,0.003356285,0.002442082,0.1247222],"category_scores_gemma":[0.00693226,0.0005244178,0.001290371,0.002564536,0.001447093,0.00411976,0.002886205,0.003050681,0.02401228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001737621,"about_ca_system_score_gemma":0.002036211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01086672,"about_ca_topic_score_gemma":0.006264871,"domain_scores_codex":[0.9987563,0.0004002153,0.00006276733,0.0003466427,0.0002270917,0.000207108],"domain_scores_gemma":[0.9976777,0.001246269,0.000228521,0.000364686,0.0003625379,0.0001203197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001203865,0.0001648091,0.007714749,0.0002263672,0.0001060423,0.0005633612,0.0006089915,0.04388884,0.0002500767,0.8621397,0.0351259,0.04909079],"study_design_scores_gemma":[0.00009847709,0.00009510952,0.002394956,0.0001431488,0.00008324606,0.0005082379,0.0009772746,0.1985196,0.0002359292,0.6743222,0.1225676,0.00005411322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.046415,0.001716865,0.4699326,0.01174276,0.0008002658,0.001007888,0.02184188,0.002518721,0.4440241],"genre_scores_gemma":[0.6936437,0.001989256,0.08120868,0.002269829,0.0005215277,0.00164324,0.01332051,0.0005167664,0.2048864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1247222,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03413326790126592,"score_gpt":0.3025669729442584,"score_spread":0.2684337050429925,"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."}}