{"id":"W6948596175","doi":"10.5064/f6buax58/drdgls","title":"Burke_EDI_NENA.NY003ResearcherSurvey.2017.09.23.rtf","year":2018,"lang":"en","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"Species Distribution and Climate Change","field":"Environmental Science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002124924,0.0005291143,0.0005269606,0.000174534,0.0008710444,0.0001504918,0.003857811,0.0005280164,0.03223282],"category_scores_gemma":[0.0006634113,0.0005596696,0.000154508,0.0006366308,0.002104269,0.0009914496,0.004789455,0.0008366788,0.01363055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002224697,"about_ca_system_score_gemma":0.0001507872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01141797,"about_ca_topic_score_gemma":0.004032074,"domain_scores_codex":[0.9938436,0.002186653,0.0004038073,0.001538549,0.001295359,0.0007321021],"domain_scores_gemma":[0.9950248,0.0007051675,0.0004923925,0.003173846,0.000133532,0.0004702496],"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":[0.0001375619,0.0002294196,0.00004787914,0.00005951582,0.0001424845,0.0003619611,0.001196935,2.954708e-7,0.0001072787,0.00003092707,0.9976594,0.00002636875],"study_design_scores_gemma":[0.0005111406,0.0001366724,0.0007285602,0.00004734616,0.0001326233,0.00002083381,0.01895135,0.000006985052,0.00003904439,0.00001144882,0.9787777,0.0006362848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001276113,0.00006093199,0.00002264758,0.0001986041,0.001097344,0.0003710613,0.9837911,0.00009284526,0.01308934],"genre_scores_gemma":[0.00005476339,0.0003739865,0.00009208803,0.0001146588,0.00029953,0.000002336418,0.9885526,0.00002457074,0.01048548],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01888166,"threshold_uncertainty_score":0.9996855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1546771283071061,"score_gpt":0.3706604743162662,"score_spread":0.2159833460091601,"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."}}