{"id":"W6887912783","doi":"10.17632/p68644t3rc","title":"Keewaywin Formation Data","year":2020,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mineral; Work (physics); Data analysis; Feature (linguistics); Data collection","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":[0.000430742,0.0009362039,0.0008215589,0.003935531,0.001057934,0.001395701,0.00158955,0.0005811568,0.06121094],"category_scores_gemma":[0.003139982,0.0005836096,0.0005897493,0.01106725,0.0003371765,0.0006951898,0.001374459,0.0006707822,0.0315322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007014788,"about_ca_system_score_gemma":0.01130359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8157547,"about_ca_topic_score_gemma":0.9060786,"domain_scores_codex":[0.9993153,0.00003051141,0.00006608396,0.0001589461,0.0002799734,0.0001491875],"domain_scores_gemma":[0.9979752,0.0001160771,0.0002010378,0.0002530738,0.001257563,0.0001970629],"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":[0.0000726014,0.000009807603,0.006102711,0.0007229887,0.00003827635,0.00004405707,0.0001495504,0.0003807945,0.0002411941,0.001425257,0.9860617,0.004751156],"study_design_scores_gemma":[0.00003419181,0.000004005198,0.02056908,0.0001348975,0.00001859397,0.00002178539,0.0001648179,0.0001619381,0.0002575459,0.0003067261,0.9783101,0.00001643089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003101979,0.00003669885,0.00003890782,0.00002249905,0.000004248192,0.000005250452,0.9980903,0.00006038586,0.001431475],"genre_scores_gemma":[0.001877906,0.00009308357,0.0002721973,0.00001607154,0.000002534708,0.00004307596,0.9937001,0.00006278272,0.003932239],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1842453,"threshold_uncertainty_score":0.3706607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3027163280349188,"score_gpt":0.3727687870665841,"score_spread":0.07005245903166529,"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."}}