{"id":"W6986406085","doi":"","title":"From Pentagoet to the Old Canada Road : Finding and delimiting habitations of downeast maine","year":2008,"lang":"fr","type":"other","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Cannibalism","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002939641,0.0004754152,0.0008487539,0.0002393012,0.0008965115,0.0001577218,0.002442525,0.0001698437,0.0002821453],"category_scores_gemma":[0.0001768339,0.0004587155,0.00009596388,0.0003673344,0.0005362456,0.0007347072,0.002763616,0.0002808662,0.0000112264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003972352,"about_ca_system_score_gemma":0.0006306865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9429716,"about_ca_topic_score_gemma":0.9456712,"domain_scores_codex":[0.9964595,0.0003065567,0.0006888174,0.001333742,0.0007563095,0.0004550701],"domain_scores_gemma":[0.9952366,0.0005130438,0.001195921,0.002415098,0.0002465111,0.000392767],"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":[0.0001751665,0.0003234935,0.04174274,0.0002862838,0.00316807,0.002198717,0.002444825,0.0003947653,0.0004471199,0.001977211,0.8687518,0.07808981],"study_design_scores_gemma":[0.001602873,0.0001297709,0.09276827,0.000893395,0.001394766,0.0002143674,0.002376121,0.006021662,0.00007441326,0.00004091585,0.8936714,0.0008120484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6806173,0.02761584,0.02815651,0.03602502,0.006537726,0.005601614,0.06844766,0.0002613726,0.1467369],"genre_scores_gemma":[0.6272878,0.008649427,0.01687106,0.0006641881,0.0008918132,0.00000543973,0.004311569,0.0001637199,0.341155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1944181,"threshold_uncertainty_score":0.9997864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545849074138632,"score_gpt":0.2138913894682949,"score_spread":0.1984328987269086,"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."}}