{"id":"W6929658834","doi":"10.5064/f6buax58/gwfsos","title":"Burke_EDI_NENA.NY003ResearcherSurvey.2017.09.23.docx","year":2018,"lang":"en","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Identifier; Survey data collection; Plan (archaeology); Survey methodology; Identification (biology); Scale (ratio); Data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008824533,0.001020127,0.000883526,0.00299831,0.001493342,0.002958167,0.001577177,0.0009187878,0.7792494],"category_scores_gemma":[0.03497456,0.001032188,0.0004390573,0.003708023,0.0005848419,0.002618211,0.002904864,0.001437028,0.4769972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002054574,"about_ca_system_score_gemma":0.004598587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01378084,"about_ca_topic_score_gemma":0.01662086,"domain_scores_codex":[0.996876,0.001382575,0.0002485125,0.0002525806,0.0008700343,0.0003703535],"domain_scores_gemma":[0.9735001,0.01116766,0.00102729,0.00327564,0.009642822,0.001386409],"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":[0.00003906518,0.00005187289,0.0004297685,0.0002292374,0.000002745445,0.00000833306,0.0001922594,0.00002005499,0.00004645986,0.0007382894,0.9743567,0.02388521],"study_design_scores_gemma":[0.00007325973,0.0000475637,0.005414268,0.0004709943,0.000003164218,0.00001454752,0.0009542967,0.0001347666,0.0003222675,0.0008904585,0.9916543,0.00002010065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00409899,0.0002712509,0.00532375,0.003884104,0.001507294,0.007090347,0.7494537,0.0118573,0.2165131],"genre_scores_gemma":[0.02307673,0.0009936016,0.01517097,0.003086968,0.000474933,0.06983133,0.3954923,0.008742256,0.4831309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2207506,"threshold_uncertainty_score":0.3148739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08292425673129795,"score_gpt":0.3690255232362932,"score_spread":0.2861012665049952,"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."}}