{"id":"W2134710647","doi":"10.12688/f1000research.6053.1","title":"Every scientist is a memory researcher: Suggestions for making research more memorable","year":2015,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Novelty; Open peer review; Scientific writing; Work (physics); Advice (programming); Psychology; Engineering ethics; Cognitive science; Computer science; Plant biology; Social psychology; Engineering; Biology; Literature","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.03238776,0.0004886147,0.0006967823,0.002217325,0.003667365,0.006212199,0.003674477,0.0007770861,0.003895213],"category_scores_gemma":[0.009093502,0.0004759225,0.0003539237,0.0005819888,0.003122567,0.0008506182,0.005357502,0.00807835,0.0005402396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008075503,"about_ca_system_score_gemma":0.004297203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005060907,"about_ca_topic_score_gemma":0.0008310975,"domain_scores_codex":[0.9885262,0.001303256,0.0008183716,0.001666451,0.005041019,0.002644694],"domain_scores_gemma":[0.9867528,0.002650014,0.0002003831,0.001702124,0.008022415,0.0006722435],"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":[0.0001235482,0.0001170661,0.0001072923,0.001090248,0.0000831248,0.00003067782,0.03239978,0.00008820647,0.00002825282,0.02775207,0.9352154,0.002964289],"study_design_scores_gemma":[0.0005596367,0.0001267867,0.00006091389,0.001354691,0.00003309163,0.00000908022,0.02782116,0.006220919,0.0001011109,0.07049875,0.8926086,0.0006052018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07110026,0.01431119,0.0002938754,0.08708178,0.005875593,0.009182927,0.01003114,0.001311319,0.8008119],"genre_scores_gemma":[0.3188213,0.0003613849,0.002055678,0.0007961102,0.01758048,0.00310989,0.001622184,0.0004738004,0.6551792],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.247721,"threshold_uncertainty_score":0.9997693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4603686388791756,"score_gpt":0.4817693876727157,"score_spread":0.02140074879354009,"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."}}