{"id":"W2586596427","doi":"10.5964/jnc.v2i3.99","title":"Numerical cognition speaks up: Reflections and acknowledgements on the Journal of Numerical Cognition","year":2017,"lang":"en","type":"article","venue":"Journal of Numerical Cognition","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Numerical cognition; Citation; Cognition; Library science; License; XML; Computer science; Cognitive science; Psychology; World Wide Web","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":[0.02571739,0.0006899846,0.0009626453,0.002476627,0.00615538,0.01544952,0.001572898,0.008737153,0.007844562],"category_scores_gemma":[0.07191807,0.0005892105,0.0006556573,0.0019147,0.03688512,0.02608125,0.007034884,0.02325496,0.001706645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006141482,"about_ca_system_score_gemma":0.008658127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003992874,"about_ca_topic_score_gemma":0.005968411,"domain_scores_codex":[0.9881076,0.006518677,0.0006609252,0.0008292422,0.002958721,0.0009248219],"domain_scores_gemma":[0.9171107,0.06268898,0.001952369,0.003020171,0.0110985,0.004129187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001177785,0.0000649221,0.000712599,0.0005889974,0.0000259865,0.0004807759,0.08466347,0.0001163688,0.0004967397,0.3309807,0.5030169,0.07873478],"study_design_scores_gemma":[0.00001443924,0.00002990268,0.0009392361,0.001541188,0.00001184206,0.0004527504,0.04961661,0.00008928322,0.0003287522,0.1453412,0.8015619,0.00007285055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.00331768,0.07236238,0.001112491,0.8688114,0.03624095,0.000005845221,0.00003366584,0.00003486424,0.0180806],"genre_scores_gemma":[0.3811118,0.20587,0.005128502,0.2618959,0.1014409,0.00008745041,0.0000952897,0.0005567658,0.04381342],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02571739,"threshold_uncertainty_score":0.1360082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08803778735417876,"score_gpt":0.372246769471086,"score_spread":0.2842089821169072,"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."}}