{"id":"W6930170820","doi":"10.5064/f6z31wj1/1eb2dg","title":"Johnson_House41_JUSTHR_039ev.pdf","year":2018,"lang":"fr","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001235386,0.001598085,0.0008452015,0.004609655,0.0009653843,0.002559104,0.002436172,0.001385115,0.1882523],"category_scores_gemma":[0.006410627,0.0007071714,0.0008414224,0.006478244,0.0005053966,0.00141999,0.002170522,0.001227233,0.2177047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001754144,"about_ca_system_score_gemma":0.002040284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03339003,"about_ca_topic_score_gemma":0.05278575,"domain_scores_codex":[0.9990859,0.0001105763,0.000097461,0.0002200498,0.0002842252,0.0002018185],"domain_scores_gemma":[0.9968323,0.0007472748,0.0002450641,0.0009409203,0.0009505695,0.0002838874],"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":[0.00002985772,0.00001493059,0.0005252407,0.000186346,0.00000666519,0.00001072978,0.00002974974,0.00008184984,0.00008028747,0.0004185964,0.9958216,0.002794017],"study_design_scores_gemma":[0.0001125133,0.00001328859,0.004965868,0.000134261,0.000009284101,0.00003969103,0.0001596684,0.0002685303,0.0004680911,0.0007807991,0.9930252,0.00002281095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001399358,0.00001570776,0.0000728358,0.00004549661,0.0000131264,0.00000837981,0.9978801,0.0005606141,0.00126387],"genre_scores_gemma":[0.0004983702,0.00002993121,0.0002673843,0.00002634286,0.000005970312,0.00006731864,0.9969701,0.0001280694,0.002006497],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1882523,"threshold_uncertainty_score":0.6297666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1077716667757728,"score_gpt":0.3544853180532477,"score_spread":0.246713651277475,"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."}}